- Comp-neuro - lists.cnsorg.org

PhD and post-doc at University College Dublin
by Áine Byrne 24 Jun '24

24 Jun '24

Bridging the gap for mathematical models of gap junctions PhD and post-doctoral positions available with Dr Áine Byrne (https://people.ucd.ie/aine.byrne) in the School of Mathematics and Statistics at University College Dublin’s . This project seeks to develop novel mathematical models of gap junction modulation in the brain. Gap junctions promote the synchronous activation of neurons, a signature of epileptic seizures. Using a combination of mathematical models and electrophysiological experiments, we will investigate the interplay between gap junction coupling and neuronal synchronisation. Particular attention will be paid to how gap junction coupling varies in response to changes in the surrounding environment. This newfound understanding will be exploited to understand the emergence of excessive neuronal synchronisation in epilepsy and identify novel treatments. Experiments will be carried out at Trinity College Dublin under the guidance of collaborator Prof Mark Cunningham (https://www.cunninghamlab.org/) who will provide training and the use of his facilities. PhD student A 4-year fully funded position is available from September 1st, 2024. Funding includes a stipend of €22,000 per year and a travel allowance of €1,500 per year (years 2-4). Candidates should have a strong mathematical background, programming skills (Python, LaTeX, C++, Linux), an excellent command of the English language, good communication skills, and a passion for interdisciplinary projects. A MSc in mathematics, physics, computer science or a related field is desirable, but candidates with an excellent undergraduate degree (first class honours) may also apply. Applications, including a personal statement, CV, and contact details for two referees should be sent to Áine Byrne (aine.byrne(a)ucd.ie <mailto:aine.byrne@ucd.ie>). The deadline for applications is July 15, 2024, however, later applications may also be considered. Post-doctoral positions We are currently accepting expressions of interest for a 3-year position (start date: January 1st, 2025). Candidates should have a PhD in applied mathematics, physics, computer science, neuroscience, cognitive science or a related field. Mathematical or computational modelling experience is required, while experimental experience is desirable (but not essential). Candidates should also have strong programming skills (Python, LaTeX, XPPAUTO, C++, Linux), an excellent command of the English language, good communication skills, and a passion for interdisciplinary projects Expressions of interest, including a short description of your previous experience and motivation for working on this project, should be sent to Áine Byrne (aine.byrne(a)ucd.ie <mailto:aine.byrne@ucd.ie>). A formal application procedure will follow in the coming months.

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Reminder: Call for contribution and registration for Systems Vision Science Virtual Symposium July 12, 2024
by Pavlovic, Maria 24 Jun '24

24 Jun '24

Systems Vision Science Virtual Symposium: July 12th, 2024 -------------------------------- <https://summerschool.lizhaoping.org/symposium-2024/> Systems Vision Science Virtual Symposium takes place on July 12th, 2024, 15:00-19:00 German time, as the end of the <https://summerschool.lizhaoping.org/virtual-systems-vision-science-summer-s chool-symposium-2024/> Systems Vision Science Virtual Summer School. This summer school and symposium are the virtual editions of the onsite <https://summerschool.lizhaoping.org/> summer school and symposium in 2023. We invite contribution and free registration for this symposium. -------------------------------- The presentations at the symposium will include two keynote speeches (30 minutes each): Keynote Speech 1: "Feedback processing in human visual cortex" by Sheng He <https://www.neuroscience.umn.edu/faculty/current-faculty/g-h/sheng-he-phd> , University of Minnesota and Chinese Academy of Science, Institute of Biophysics Keynote Speech 2: "Processing partially occluded objects in the primate brain" by Anitha Pasupathy <https://sites.uw.edu/biostr/people/faculty/anitha-pasupathy/> , University of Washington, Department of Biological Structure and contributed speeches (15 minutes each). The topics of the presentations will be any topic of <https://www.lizhaoping.org/Systems-Vision-Science.html> Systems Vision Science, which combines computational, behavioral, and neuroscience methods to discover and investigate functions and algorithms for vision in various brain regions and their implementations in neural circuits. -------------------------------- To contribute or register, please fill out our registration form (including an abstract for contribution), which can be found here: <https://summerschool.lizhaoping.org/wp-content/uploads/2024/06/Form-to-regi ster-or-submit-a-contribution-to-the-SVS-symposium-2024.docx> https://summerschool.lizhaoping.org/Form-to-register-or-submit-a-contributio n-to-the-SVS-symposium-2024.docx and send the filled form to svs.summerschool(a)tue.mpg.de <mailto:svs.summerschool@tue.mpg.de> Please direct inquiries to svs.summerschool(a)tue.mpg.de <mailto:svs.summerschool@tue.mpg.de> . -------------------------------- Organizing Team Li Zhaoping Maria Pavlovic Junhao Liang Ali Gholamzadeh Max Planck Institute for Biological Cybernetics University of Tuebingen www.lizhaoping.org <http://www.lizhaoping.org>

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World wide VVTNS series: Wednesday, June 26 at 11am (EDT), Eve Marder Brandeis University | Cryptic (hidden) changes that result from perturbations and climate change shape future dynamics of degenerate neurons and circuits
by David Hansel 24 Jun '24

24 Jun '24

[image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns@TheoreticalWide You are cordially invited to the VVTNS fourth season final lecture given by Eve Marder Brandeis University on the topic of Cryptic (hidden) changes that result from perturbations and climate change shape future dynamics of degenerate neurons and circuits The lecture will be held on zoom on *June 26, 2024*, at *11:00 am EDT * To receive the link: https://www.wwtns.online/register-page *Abstract: *A fundamental problem in neuroscience is understanding how the properties of individual neurons and synapses contribute to neuronal circuit dynamics and behavior. In recent years we have done both computational and experimental studies that demonstrate that the same physiological output can arise from multiple, degenerate solutions, and that individual animals with similar behavior can nonetheless have quite different sets of underlying circuit parameters. Most recently, we have been studying the resilience of individual animals to perturbations such as temperature and high potassium concentrations. This has revealed that extreme environmental experiences can produce long-term changes in circuit performance that can be hidden, or “cryptic” unless the animals are again challenged or perturbed. Our present experimental and computational work is designed to understand differential resilience in natural, wild-caught animals in response to climate change, and shows long-lasting influences of the animals’ temperature history. *About VVTNS : Created as the World Wide Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), its aim is to be a platform to exchange ideas among theoreticians. Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ᐧ

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Call for Papers - International Conference on Gender and Technology 2025
by Shyam Diwakar 22 Jun '24

22 Jun '24

Dear All, We are very happy to announce that the "International Conference on Gender and Technology 2025<https://www.amrita.edu/events/gender-technology-conference-2025>" will be held at Amrita University in Kerala, India, from January 16 to 19, 2025, and invite all to submit research papers for the conference. This flagship event is organized by Amrita University, in collaboration with UNESCO. IEEE Society on Social Implications of Technology (SSIT) and IEEE Kerala Section are technical co-sponsors for the conference. Submit your paper here<https://bit.ly/ICGT25> Conference website<https://www.amrita.edu/events/gender-technology-conference-2025> Through peer-reviewed paper publications and presentations, keynote sessions, panel discussions, and a GenAI x Gender Tech hackathon, the conference aims to be a catalyst for change. We will inform, encourage, and celebrate technology designed with inclusion in mind, with a particular focus on women's empowerment. We will explore how women can lead the charge in creating technology that not only transforms their lives but also creates positive outcomes for all. We will bring together diverse stakeholders, including UN agencies, Government representatives, academicians, experts, policymakers, civil society, industry, gender financing institutions, senior and early researchers, and students, to facilitate an intergenerational and interdisciplinary dialogue. Conference activities will also include a poster session, a concluding awards ceremony for best conference papers, posters, and hackathon teams, a gala dinner and cultural performances. ***************************** TOPICS ***************************** The conference will focus on (but is not limited to) the below core thematic areas, through the lens of gender and emerging technologies such as AI, blockchain, AR/VR, Robotics, Neuroscience, etc. For more details on each theme below, please visit our conference website<https://www.amrita.edu/events/gender-technology-conference-2025>. 1. Gender, Society, and Representation in Emerging Technologies 2. Climate Change, Environment, and Gender 3. Gender, Livelihood, and the Future of Work 4. Women’s Health and Sanitation in the Digital Age 5. Safety and Security: Gendered Perspectives on New Technologies 6. Gender, Education, and Cultural Shifts through Technology 7. Socio-cultural Change, Access to Technology, and Gender Equity Politics 8. Building Inclusive Resilience to Disaster and Climate Change 9. Inclusive Technology Design for Social Good 10. Ethics, Data Science, and Social Problem Solving 11. Emerging Technologies: Opportunities and Vulnerabilities 12. Gender and Finance: Technological Innovations for Financial Inclusion ***************************** IMPORTANT DATES: ***************************** Paper Submission Deadline: August 30, 2024 Notification of Acceptance: October 15, 2024 Final Camera-ready Paper: November 15, 2024 Registration Deadline: December 15, 2024 ***************************** SUBMISSION GUIDELINES ***************************** Full Papers for Publication and Presentation (up to 6 pages in length, including the full reference section): Mature results, tested innovations, or completed projects. Poster Presentation (1–2 page summary/abstract): Discussion of fieldwork in progress (with insufficient results for a full paper) that addresses intention, unexpected challenges, unintended outcomes, successes, and failures. All papers must adhere to the IEEE Standard two-column conference format on A4 size paper in English. Use IEEE conference templates in Word or LaTeX to prepare your manuscript. The use of artificial intelligence (AI)–)-generated text in an article shall be disclosed in the acknowledgments section of any paper submitted. The sections of the paper that use AI-generated text shall have a citation to the AI system used to generate the text. All submitted articles should report original, previously unpublished research results, experimental or theoretical. Articles submitted to the conference should meet these criteria and must not be under consideration for publication elsewhere. Any act of plagiarism will result in immediate rejection of the paper. Papers for publication must be submitted in full paper electronically via EDAS Submission System. Accepted papers presented by an original author or co-author will be published in the Conference Proceedings, and submitted for inclusion in IEEE Xplore and scopus indexing, subject to meeting IEEE Xplore’s scope and quality requirements. Posters will be published as an addendum to the conference proceedings and will not be submitted to IEEE Xplore or for scopus indexing. Join us at the 2025 International Conference on Gender and Technology to contribute to a dynamic exchange of ideas and insights shaping the future of technology through a gender lens. We look forward to your submissions and to welcoming you to Kerala, India, for the event. For inquiries, please contact: gendertechpublications(a)am.amrita.edu<mailto:gendertechpublications@am.amrita.edu> Submission can be sent at https://bit.ly/ICGT25 ***************************** CONTACT ***************************** E-mail (for general inquiries): gendertechconference(a)am.amrita.edu<mailto:gendertechconference@am.amrita.edu> E-mail (for paper submission inquiries): gendertechpublications(a)am.amrita.edu<mailto:gendertechpublications@am.amrita.edu> Website: https://www.amrita.edu/events/gender-technology-conference-2025 -- Prof. Shyam Diwakar, Ph.D. Director - Amrita Mind Brain Center Faculty Fellow - Amrita Center for International Programs Amrita Vishwa Vidyapeetham (Amrita University) Amritapuri, Clappana P.O. Kollam, India. Pin: 690525 Ph:+91-476-2803501 Fax:+91-476-2899722 http://amrita.edu/mindbrain [https://ci3.googleusercontent.com/mail-sig/AIorK4y0J3snkg8ODMTKoZbKJ51foHfW…] [https://intranet.cb.amrita.edu/sig/RankingLogo.png] Disclaimer<https://intranet.cb.amrita.edu/sig/Disclaimer.htm>

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Mathematics of Neuroscience and AI Conference talks uploaded to YouTube
by Battleday, Ruairidh 21 Jun '24

21 Jun '24

Dear all, The talks are now uploaded from our Convention on the Mathematics of Neuroscience and AI last month in Rome (www.neuromonster.org) Twitter link: https://x.com/RMBattleday/status/1802616511879696649 YouTube: https://youtube.com/playlist?list=PLA59nMLAkDyiyYoISlQDDnMY4pxKmTsBC&si=OyY… LinkedIn: https://www.linkedin.com/posts/ruairidh-battleday-648a2b65_talks-now-upload… Thanks to everyone that came and contributed, and made it such a blast! All the best, Ruairidh -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD President Thinking About Thinking, Inc <https://thinkingaboutthinking.org> Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT

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Become a member of the International Society for Tractography (IST)
by Maxime Descoteaux 21 Jun '24

21 Jun '24

** *We are thrilled to officially announce the launch of the International Society for Tractography (IST) <http://www.tractography.io>. Our goal is to facilitate fundamental advances in the field of tractography that are only possible via an interactive community dedicated to sharing a broad range of talent and knowledge. This includes planning engaging events such as webinars, educational workshops, and conferences, as well as promoting large-scale collaborations across institutions and international borders. * * It’s now time to sign up and become a member <http://www.tractography.io/become_a_member/>. The first year (July 1st 2024 - June 30th 2025), membership will be free! Exciting things to watch out for: * Our new website [www.tractography.io <http://www.tractography.io>] * IST is on X <https://x.com/tractography>[@tractography] and LinkedIn <https://www.linkedin.com/company/international-society-for-tractography/> * TheTract-Anat Club <http://www.tractography.io/tractanat_club/>with recordings posted on our YouTube channel <https://www.youtube.com/@SocietyTractography>. * A dedicated collection "Neuroanatomy and Tractography" in Brain and Structure Function <https://link.springer.com/collections/jfccijhacc> * And more to come (2025 conference in Bordeaux, France) Looking forward to interacting! On behalf of the board of directors and scientific committee Maxime Descoteaux, Flavio Dell’Acqua, Kathleen Rockland, Catherine Lebel, Derek Jones, Lauren O’Donnell, Ariel Rokem, Pratik Mukherjee, Shawna Farquharson, Alexander Leemans, Graham Little, and Laurent Petit *

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Call for Papers: Machine Learning Algorithms for Brain Imaging
by Shailesh Appukuttan 20 Jun '24

20 Jun '24

Dear colleagues, We invite researchers, neuroscientists, and machine learning experts to contribute to our Research Topic "*Machine Learning Algorithms for Brain Imaging: New Frontiers in Neurodiagnostics and Treatment*". Accepted articles will be published in the journal Frontiers in Neuroinformatics. https://www.frontiersin.org/research-topics/62418/machine-learning-algorith… *Submissions now open! * Manuscript Submission Deadline: 15 September 2024 Feel free to contact me for further info. This Frontiers Research Topic focuses on, but not limited to, the following themes: - Development and validation of novel machine learning algorithms for brain image analysis. - Deep learning techniques for brain image segmentation, classification, and feature extraction. - Predictive modeling and prognostication using machine learning to guide neurotherapeutic decisions. - Transfer learning and domain adaptation approaches in neuroimaging analysis. - Explainable AI and interpretable machine learning methods for transparent and trustworthy brain image interpretation. - Integration of multimodal imaging data (e.g., MRI, fMRI, PET) through innovative machine learning strategies. - Evaluation and benchmarking of machine learning algorithms in neuroimaging. - Current challenges, future directions, and ethical considerations in the application of machine learning algorithms in brain imaging. We welcome original research articles, comprehensive reviews, and perspectives that contribute to the field of machine-learning algorithms for brain imaging. Manuscripts should present novel methodologies, rigorous validation, and practical applications. Cheers, Shailesh Appukuttan Shailesh APPUKUTTAN *RECHERCHE > INT* Aix-Marseille Université - Campus Timone, INT NEUROSCIENCES,27 Boulevard Jean Moulin, Marseille, 13005 Site : https://shailesh-appukuttan.com/ - Email : shailesh.APPUKUTTAN(a)univ-amu.fr *Afin de respecter l'environnement, merci de n'imprimer cet email que si nécessaire.*

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Submit Your Research for COMPLEX NETWORKS 2024 in Istanbul!
by Hocine Cherifi 20 Jun '24

20 Jun '24

13 *th **International Conference on Complex Networks & Their Applications* Istanbul, Turkey December 10 - 12, 2024 COMPLEX NETWORKS 2024 <https://complexnetworks.org/> You are cordially invited to submit your contribution until *September 03, 2024*. *----------------------------------------------------------------------------------------------------------------------------------------------* *KEYNOTE SPEAKERS* · Federico Battiston <https://people.ceu.edu/federico_battiston> Central European University, Austria · Tina Eliassi-Rad <https://www.khoury.northeastern.edu/people/tina-eliassi-rad/> Northeastern University, USA · Frank Emmert-Streib <https://www.tuni.fi/en/frank-emmert-streib> Tampere University, Finland · Filippo Menczer <https://cnets.indiana.edu/fil/> Indiana University, USA · Luciano Pietronero <http://www.lucianopietronero.it/> University of Rome, Italy *----------------------------------------------------------------------------------------------------------------------------------------------* *TUTORIALS (December 09, 2024)* · Alessandro Galeazzi <https://scholar.google.com/citations?user=DK0tXAIAAAAJ&hl=en> University of Padova, Italy · Clara Stegehuis <https://www.clarastegehuis.nl/> Twente University, The Netherlands *----------------------------------------------------------------------------------------------------------------------------------------------* *CONTRIBUTIONS* *Full papers: *not previously published up to 12 pages · *Papers *will be included in the conference *proceedings edited by Springer* *Extended Abstracts*: about published or unpublished research up to 4 pages . · *Extended abstracts* will be published in the *Book of Abstracts (with ISBN)* · *https://cmt3.research.microsoft.com/COMPLEXNETWORKS2024/* <https://cmt3.research.microsoft.com/COMPLEXNETWORKS2024/> *----------------------------------------------------------------------------------------------------------------------------------------------* *JOURNAL SPECIAL ISSUES* *Extended versions of accepted contributions will be invited for publication in special issues of :* o PLOS Complex Systems <https://journals.plos.org/complexsystems/> edited by PLOS <https://plos.org/>. o PLOS <https://journals.plos.org/plosone/> One <https://journals.plos.org/plosone/> edited by PLOS <https://plos.org/> o Applied Network Science <https://appliednetsci.springeropen.com/> edited by Springer Nature <https://www.springernature.com/gp> o Social Network Analysis and Mining <https://link.springer.com/journal/13278> edited by Springer Nature <https://www.springernature.com/gp> o Computational & Mathematical organization <https://link.springer.com/journal/10588> edited by Springer Nature <https://www.springernature.com/gp> o Advances in Complex Systems <https://www.worldscientific.com/toc/acs/24/02> edited by World Scientific <https://www.worldscientific.com/> o Complex Systems Journal <https://www.complex-systems.com/> *Invitation Notification: December 18,2024* *Submission Deadline: February 28,2025* *----------------------------------------------------------------------------------------------------------------------------------------------* *SUBMISSION* *Refer to **https://complexnetworks.org/submission/* <https://complexnetworks.org/submission/> *----------------------------------------------------------------------------------------------------------------------------------------------* *TOPICS* *Topics include, but are not limited to: * o Models of Complex Networks o Structural Network Properties and Analysis o Complex Networks and Epidemics o Community Structure in Networks o Community Discovery in Complex Networks o Motif Discovery in Complex Networks o Network Mining o Network embedding methods o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Network Controllability o Synchronization in Networks o Visual Representation of Complex Networks o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems and Complex Networks o Financial and Economic Networks o Complex Networks and Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics and Earth Sciences Applications o Resilience and Robustness of Complex Networks o Complex Networks for Physical Infrastructures o Complex Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks *-----------------------------------------------------------------------------------------------------------------------------------------* For further information and inquiries, please contact us at info(a)complexnetworks.org Join us at COMPLEX NETWORKS 2024 <https://www.complexnetworks.org/> *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comté Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Plos Complex Systems <https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%2….> Founding & Adisory Editor Applied Network Science <https://appliednetsci.springeropen.com/> Editorial Board member PLOS One <https://journals.plos.org/plosone/>, IEEE ACCESS <https://ieeeaccess.ieee.org/?http%3A%2F%2Fieeeaccess_ieee_org%2F>, Scientific Reports <https://www.nature.com/srep/>, Journal of Imaging <https://www.mdpi.com/journal/jimaging>, Quality and Quantity <https://www.springer.com/journal/11135/>, Computational Social Networks <https://computationalsocialnetworks.springeropen.com/>, Complex Systems <https://www.complex-systems.com/>

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Postdoc position available
by Goodhill, Geoffrey 17 Jun '24

17 Jun '24

POSTDOC POSITION IN DECODING AUTISM SPECTRUM DISORDERS FROM MOVEMENT A postdoc position is available in the lab of Geoff Goodhill at Washington University in St Louis for an NIH-funded project to help improve early diagnosis of ASD by using cutting-edge tools from machine learning and computational ethology. PROJECT. Motor differences are one of the earliest markers of increased ASD likelihood in infancy. Our goal is to develop broadly-applicable diagnostic tools which combine automated extraction of kinematic features from video data with new machine learning techniques to capture ASD motor function variability. As a first step, we are applying cutting-edge developments in computer vision, machine learning and computational ethology to a rich, longitudinal video dataset of infants being screened for ASD. APPLICANT PROFILE. The ideal applicant would have a strong background in all of ASD, human movement, machine learning and computational ethology. However given the rarity of this combination we are happy to consider candidates with only some of this background, but a strong desire to learn about the other elements. LAB ENVIRONMENT. The Goodhill lab is an interdisciplinary environment of students and postdocs from a diverse array of backgrounds including neuroscience, mathematics, physics and engineering, working together on understanding neural circuit computation, particularly relating to neural development. UNIVERSITY ENVIRONMENT. Washington University in St Louis is ranked in the top 10 institutions globally for Neuroscience and Behavior, and offers an outstanding intellectual environment for research in neuroscience. The Goodhill lab has recently moved into Washington University's new start-of-the-art 600,000 sq ft Neuroscience Research Building (https://neuroscience.wustl.edu/research/neuroscience-building) For more information about St Louis see https://explorestlouis.com. To apply please send a CV and detailed cover letter explaining why you are interested in this position to g.goodhill(a)wustl.edu. Review of applications will continue until the position is filled. Professor Geoffrey J Goodhill Departments of Developmental Biology and Neuroscience Director, Center for Theoretical and Computational Neuroscience (ctcn.wustl.edu) Affiliate appointments: Physics, Biomedical Engineering, Computer Science and Engineering, and Electrical and Systems Engineering Washington University School of Medicine 660 S. Euclid Avenue St. Louis, MO 63110 g.goodhill(a)wustl.edu https://neuroscience.wustl.edu/people/geoffrey-goodhill-phd

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[Courses] Cours en ligne en anglais : Test d'hypothèse à deux échantillons (Online Training and Internship: Two Sample Hypothesis Testing)
by PRANAV NERURKAR 17 Jun '24

17 Jun '24

(Apologies for cross posting) Salutations de l'Institut Utkarsh Minds. Nous sommes heureux d'annoncer que l'Institut Utkarsh Minds organise un programme de stage de deux mois sur Python pour le test d'hypothèses statistiques. 🎯 Dates : du 1er juillet au 31 août 2024 🎯 Intervenants : Experts du monde académique et de l'industrie 🎯 Les participants intéressés sont invités à s'inscrire. Lien d'inscription : https://internships.utkarshminds.com/ 🎯 Frais d'inscription : seulement Rs. 99/- (EUR 2 / USD 2) 🎯 Date limite d'inscription : 25 juin 2024 🎯 Comité d'organisation : Pranav Nerurkar pranav.nerurkar(a)utkarshminds.com +91 9619997797 Nous attendons avec impatience votre participation active. Cordialement, Institut Utkarsh Minds Stage en ligne : Test d'hypothèse à deux échantillonsDescription : Rejoignez notre programme de stage en ligne complet axé sur le test d'hypothèse à deux échantillons, conçu pour les étudiants désireux de se plonger dans le monde de l'analyse statistique et de la programmation. Ce stage offre un mélange unique d'apprentissage théorique et d'application pratique, fournissant aux participants une compréhension solide du test d'hypothèse à l'aide de données réelles. Principales caractéristiques : 1. *Cours vidéo interactifs* : - Apprenez les fondamentaux du test d'hypothèse à deux échantillons grâce à des cours vidéo captivants et informatifs. - Comprenez les concepts clés tels que les hypothèses nulle et alternative, les tests t, les tests z, les valeurs p et les intervalles de confiance. 2. *Travaux pratiques de codage* : - Appliquez les connaissances théoriques acquises lors des cours en réalisant des travaux pratiques de codage dans des langages tels que Python ou R. - Travaillez sur des jeux de données réels pour vous exercer à formuler des hypothèses, à effectuer des tests statistiques et à interpréter les résultats. - Bénéficiez de conseils pas à pas pour écrire et déboguer le code afin d'assurer une analyse précise et efficace. 3. *Applications pratiques* : - Explorez diverses études de cas et exemples illustrant l'application du test d'hypothèse à deux échantillons dans différents domaines tels que la santé, la finance, le marketing, et plus encore. - Participez à des projets imitant des scénarios réels où le test d'hypothèse est crucial pour la prise de décision. 4. *Mentorat et soutien* : - Recevez un mentorat de la part de statisticiens et de data scientists expérimentés. - Participez à des sessions de questions-réponses et à des forums de discussion pour clarifier vos doutes et enrichir votre expérience d'apprentissage. 5. *Certification* : - Obtenez un certificat à l'issue de ce stage, attestant de vos compétences et connaissances en test d'hypothèse à deux échantillons. - Ajoutez cette précieuse compétence à votre CV ou à votre profil LinkedIn pour renforcer vos perspectives de carrière. Exigences : - Compréhension de base des statistiques et de la programmation. - Un ordinateur avec accès à internet. - Volonté d'apprendre et d'appliquer de nouveaux concepts. Durée : - Le stage est auto-rythmé et peut être complété en 4 à 6 semaines, en fonction de votre emploi du temps et de votre rythme d'apprentissage. Greetings from Utkarsh Minds Institute! We are excited about the opportunity to help you enhance your skills in this critical area and want to ensure you don't miss out on this valuable experience. 🎯 *Program Dates:* 1st July to 31st August 2024 🎯 *Resource Persons:* Experts from Academia and Industry 🎯 *Registration Fees:* Rs. 99/- only To complete your enrollment, please visit the following link and finalize your registration: https://internships.utkarshminds.com/ *Why Should You Enroll?* - *Comprehensive Curriculum:* Learn practical and theoretical aspects of Python for statistical hypothesis testing. - *Expert Guidance:* Get trained by professionals with extensive experience in the field. - *Affordable Fees:* Gain valuable skills for just Rs. 99. - *Career Advancement:* Enhance your resume and improve your job prospects. The last date for registration is 25th June 2024. Don't miss this chance to advance your skills and career prospects. If you have any questions or need assistance with the registration process, please feel free to reach out to us. *Contact Details:* Pranav Nerurkar Email: pranav.nerurkar(a)utkarshminds.com Phone: +919619997797 Online Internship: Two Sample Hypothesis TestingDescription: Join our comprehensive online internship program focusing on Two Sample Hypothesis Testing, designed for students eager to delve into the world of statistical analysis and coding. This internship offers a unique blend of theoretical learning and practical application, providing participants with a robust understanding of hypothesis testing using real-world data. Key Features: 1. *Interactive Video Lectures*: - Learn the fundamentals of Two Sample Hypothesis Testing through engaging and informative video lectures. - Understand key concepts such as null and alternative hypotheses, t-tests, z-tests, p-values, and confidence intervals. 2. *Hands-On Coding Assignments*: - Apply the theoretical knowledge gained from the lectures by completing coding assignments in languages such as Python or R. - Work on real datasets to practice setting up hypotheses, running statistical tests, and interpreting results. - Get step-by-step guidance on writing and debugging code to ensure accurate and efficient analysis. 3. *Practical Applications*: - Explore various case studies and examples that illustrate the application of Two Sample Hypothesis Testing in different fields such as healthcare, finance, marketing, and more. - Engage in projects that mimic real-life scenarios where hypothesis testing is crucial for decision-making. 4. *Mentorship and Support*: - Receive mentorship from experienced statisticians and data scientists. - Participate in Q&A sessions and discussion forums to clarify doubts and enhance your learning experience. 5. *Certification*: - Earn a certificate upon successful completion of the internship, showcasing your skills and knowledge in Two Sample Hypothesis Testing. - Add this valuable credential to your resume or LinkedIn profile to boost your career prospects. Requirements: - Basic understanding of statistics and programming. - A computer with internet access. - Willingness to learn and apply new concepts. Duration: - The internship is self-paced and can be completed within 4-6 weeks, depending on your schedule and pace of learning. *Pranav A. NERURKAR* Specialist - AI & Data science UTKARSH MINDS +91 961-999-77-97 pranav.nerurkar@ <amandine.deplantes(a)igonogo.io>utkarshminds.com www.utkarshminds.com Nirmala Sadan, Jaya Nagar, Kasturba cross road no. 1, Mumbai - 400066

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