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Apply to the Bertalanffy Doctoral Student Award @ FRCCS 2025
by Hocine Cherifi Oct. 14, 2024

Oct. 14, 2024

*DOCTORAL STUDENT AWARD* <https://iutdijon.u-bourgogne.fr/ccs-france/doctoral-student-award/> *@ **FRCCS 2025* <https://iutdijon.u-bourgogne.fr/ccs-france/> The Bertalanffy Doctoral Student Award is part of CSS FRANCE's <https://www.cssfrance.org/> global initiative to support early career researchers in their quest to advance the frontiers of science across a broad range of disciplines. It is in place to recognize early career contributions and leadership in research in Complex Systems related fields. It is awarded to young researchers enrolled in a Ph.D. program. This competition consists of presenting your research in simple terms in a five-minute video to a lay audience. Your presentation should be clear, concise, and convincing. *Eligibility* - Eligible candidates must: - Be under 30. - Be enrolled in a Ph.D. program in whatever discipline Complex Systems covers. - Commit to presenting their work at France's International Conference on Complex Systems <https://iutdijon.u-bourgogne.fr/ccs-france/> ( FRCCS 2025) <https://iutdijon.u-bourgogne.fr/ccs-france/> if awarded - Accept and authorize the use and distribution of videos and photos related to the competition, including on social networks - Have informed their thesis supervisor of their participation in the competition - Present a sufficiently advanced state of the doctoral research project - Individuals may only be candidates for this award once in their lifetime. *Important dates* · Application deadline: *March 11, 2025* · Notification to applicants: *April 02, 2025* *Application Instruction* The application package must contain the following: - A CV of the candidate (maximum two pages) - A summary (maximum two pages) presenting the research work, its context, main contribution, and scientific impact. - A 5-minute video presentation. *Application Process* Applications are made via a Google form on the online portal. <https://forms.gle/CEGYgJFV8MoiSQS36> *Note that Google Forms requires you to be signed in to a Google account to upload files and submit your responses. * *Selection Process* FRCCS Award Committee will evaluate all qualified candidates and propose the winner to the Advisory Board of CSS FRANCE, which will make the final decision. *Award Procedure* · The awardee will be recognized and present their work at FRCCS 2025 <https://iutdijon.u-bourgogne.fr/ccs-france/>. · The awardee will receive a 500-euro prize. · If the awardee is not an author at FRCCS 2025 <https://iutdijon.u-bourgogne.fr/ccs-france/>, the prize will include an additional coverage of their registration fee. · If the awardee has an accepted submission to FRCCS 2025 <https://iutdijon.u-bourgogne.fr/ccs-france/>,, they need to pay the registration fee for their contribution. For more information, contact: hocine.cherifi(a)gmail.com 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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CFP FRCCS 2025 Bordeaux, France May 21 – 23, 2025
by Hocine Cherifi Oct. 14, 2024

Oct. 14, 2024

Fifth France’s International* C*onference on* C*omplex* S*ystems May 21 – 23, 2025 Bordeaux, France *FRCCS 2025* <https://iutdijon.u-bourgogne.fr/ccs-france/> The fifth edition of France’s International Conference on Complex Systems (FRCCS 2025) will be held in Bordeaux, France. This single-track international conference serves as a platform to foster interdisciplinary exchanges among researchers from various scientific disciplines and diverse backgrounds, including sociology, economics, history, management, archaeology, geography, linguistics, statistics, mathematics, and computer science. FRCCS 2025 allows participants to meet yearly in France, exchange and promote ideas, and facilitate the cross-fertilization of recent research work, industrial advancements, and original applications. Moreover, the conference emphasizes research topics with a high societal impact, showcasing the significance of complexity science in addressing complex societal challenges. You are cordially invited to submit your contribution by *February 21, 2025.* Finalized work (published or unpublished) and work in progress are welcome. Three types of contributions are accepted: · *Long Papers* about *original research* (up to 12 pages) · *Short Papers *about* original research* (up to 8 pages) · *Extended Abstract* about *published or unpublished* research (3 to 4 pages). *Keynote Speakers* · Elsa Arcaute, <https://www.ucl.ac.uk/bartlett/casa> University College London, UK · Ulrik Brandes <https://sn.ethz.ch/> ETH Zürich Switzerland · Mikko Kivelä, <http://www.mkivela.com/> Aalto University, Finland · Caterina La Porta, <https://www.oncolab.unimi.it/about-caterina/> University of Milan, Italy · *More TBA…* *Publication* o *Papers *will be included in the conference *proceedings edited by Springer* o *Extended abstracts* will be included in the book of abstracts (With ISBN) o *Selected submissions of unpublished work will be invited for publication in special issues (fast track procedure) **of the journals:* o Applied Network Science, <https://appliednetsci.springeropen.com/> edited by Springer o Frontiers in Big Data <https://www.frontiersin.org/journals/big-data> edited by Frontiers *Submission * · Submit on CMT Microsoft at: https://cmt3.research.microsoft.com/FRCCS2025/ <https://cmt3.research.microsoft.com/FRCCS2025/> · *Select the Track: FRCCS2025* *Topics include, but are not limited to: * · *Foundations of complex systems * - Self-organization, non-linear dynamics, statistical physics, mathematical modeling and simulation, conceptual frameworks, ways of thinking, methodologies and methods, philosophy of complexity, knowledge systems, Complexity and information, Dynamics and self-organization, structure and dynamics at several scales, self-similarity, fractals - *Complex Networks * - Structure & Dynamics, Multilayer and Multiplex Networks, Adaptive Networks, Temporal Networks, Centrality, Patterns, Cliques, Communities, Epidemics, Rumors, Control, Synchronization, Reputation, Influence, Viral Marketing, Link Prediction, Network Visualization, Network Digging, Network Embedding & Learning. - *Neuroscience, **Linguistics* - Evolution of language, social consensus, artificial intelligence, cognitive processes & education, Narrative complexity - *Economics & Finance* - Game Theory, Stock Markets and Crises, Financial Systems, Risk Management, Globalization, Economics and Markets, Blockchain, Bitcoins, Markets and Employment - *Infrastructure, planning, and environment * - critical infrastructure, urban planning, mobility, transport and energy, smart cities, urban development, urban sciences - *Biological and (bio)medical complexity * - biological networks, systems biology, evolution, natural sciences, medicine and physiology, dynamics of biological coordination, aging - *Social complexity* o social networks, computational social sciences, socio-ecological systems, social groups, processes of change, social evolution, self-organization and democracy, socio-technical systems, collective intelligence, corporate and social structures and dynamics, organizational behavior and management, military and defense systems, social unrest, political networks, interactions between human and natural systems, diffusion/circulation of knowledge, diffusion of innovation - *Socio-Ecological Systems* - Global environmental change, green growth, sustainability & resilience, and culture - *Organisms and populations * - Population biology, collective behavior of animals, ecosystems, ecology, ecological networks, microbiome, speciation, evolution - *Engineering systems and systems of systems* - bioengineering, modified and hybrid biological organisms, multi-agent systems, artificial life, artificial intelligence, robots, communication networks, Internet, traffic systems, distributed control, resilience, artificial resilient systems, complex systems engineering, biologically inspired engineering, synthetic biology - *Complexity in physics and chemistry* - quantum computing, quantum synchronization, quantum chaos, random matrix theory - *Machine learning and AI in the context of Complex Systems* *GENERAL CHAIRS* Jean Loup Guillaume La Rochelle University, France Bruno Pinaud University of Bordeaux, France *PROGRAM CHAIRS* Hocine Cherifi University of Burgundy, France Guy Melançon University of Bordeaux, France 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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Faculty position in Theoretical/Computational Neuroscience
by Goodhill, Geoffrey Oct. 12, 2024

Oct. 12, 2024

The Department of Neuroscience at Washington University School of Medicine is seeking a tenure-track investigator at the level of Assistant Professor to develop an innovative research program in Theoretical/Computational Neuroscience. Applicants should have a demonstrated commitment to neuroscience and a strong background in mathematics, physics, engineering, computer science, or a related field and hold a PhD. Areas of interest include (but are not limited to) research on fundamental molecular/cellular/circuit/systems mechanisms of brain architecture/development/function, machine learning methods for neuroscientific data, neuro-AI, and computational cognition/behavior/psychiatry. We seek talented, creative, and ambitious candidates from the entire span of computational neuroscience, and we are especially interested in candidates interested in building collaborations with experimental groups. The successful candidate will join a thriving theoretical/computational neuroscience community at Washington University, including the new Center for Theoretical and Computational Neuroscience. In addition, the Department also has world-class research strengths in systems, circuits and behavior, cellular and molecular neuroscience using a variety of animal models including worms, flies, zebrafish, rodents and non-human primates. The Department’s focus on fundamental neuroscience, outstanding research support facilities, and the depth, breadth and collegiality of our culture provide an exceptional environment to launch your independent research program. To apply, submit an application packet including a cover letter describing your interest in our Department, curriculum vitae, a research statement (of no more than 3 pages) to the Faculty Opportunities Portal and arrange for three confidential letters of recommendation to be sent to neurosearch(a)wustl.edu c/o Professor Timothy E. Holy, Vice Chair for Research, Department of Neuroscience, Washington University School of Medicine, St. Louis, MO 63110. The review of applications will begin on November 4, 2024. Washington University is an Equal Opportunity Employer, and broadening opportunity is core mission of the institution. Our department highly values all our researchers, staff and trainees, and we provide an inclusive environment for people from diverse backgrounds and experiences. For more information about the Department, Washington University, and life in St. Louis, visit: https://neuroscience.wustl.edu/assistant-professor-theoretical-computationa… 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 4370 Duncan Ave. St Louis, MO 63110 g.goodhill(a)wustl.edu https://neuroscience.wustl.edu/people/geoffrey-goodhill-phd

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Cluster Hiring of UT System Research Excellence Regents' Professorships at UTSA
by Dhireesha Kudithipudi Oct. 11, 2024

Oct. 11, 2024

The University of Texas at San Antonio (UTSA), MATRIX AI Consortium, invites applications for the position of Full Professor / Associate Professor, to be appointed as a University of Texas System (UT System) Research Excellence Regents' Professor. Successful candidates will be part of a strategic Clustered & Connected Hiring Program (CCP) <https://www.utsa.edu/strategicplan/initiatives/research/strategic-hiring/cc…> focused on Artificial Intelligence, with an anticipated start date in the Fall of the 2025-26 academic year. The University of Texas System recently approved the creation of the Regents’ Research Excellence Program across its four Emerging Research Universities (ERUs), including UTSA. UT System has allocated $55 million across all four ERUs to fund the recruitment of research-active faculty to dramatically grow its national research prominence and federal funding opportunities. The 5 positions open are in areas: 1. *Trustworthy AI/ML Algorithms (eg: neuro-inspired algorithms)* 2. *Neuromorphic AI Accelerators/Chips* 3. *Human-Centered AI* 4. *AI Ethics* 5. *Quantum Encryption for AI Confidentiality* The Regents Professors will be core members of the MATRIX Consortium, which is a central hub for 87 AI scientists, facilitating transdisciplinary research, fostering high-impact collaborations, and offering thought leadership and domain expertise to address the most challenging and complex problems in AI. Areas of interest include Trustworthy AI/ML Algorithms, Neuromorphic AI Accelerators, Human-centered AI, AI Ethics, all of which advance the research thrusts in the MATRIX. MATRIX strives for scientific excellence in developing holistic solutions for human well-being. The team has a successful track record in securing large collaborative grants that generated multiple centers, such as the NSF AI Partner Institute, two NSF EFRI BRAIDs, AFOSR COE in neuro-inspired AI, along with large collaborative projects in AI for healthcare. Apply here: https://zahr-prd-candidate-ada.utshare.utsystem.edu/psc/ZAHRPRDADA/EMPLOYEE… Best Regards, Dhireesha Kudithipudi Founding Director| MATRIX <https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fai.utsa.e…> AI Consortium & NUAI <https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.nuail…> Research Lab Professor| McDermott Endowed Chair| ECE/CS| UTSA

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Postdoc positions at U Oregon
by James Murray Oct. 11, 2024

Oct. 11, 2024

Postdoc positions are available at the University of Oregon’s NeuroAI Center (ion.uoregon.edu/neuroai<https://urldefense.com/v3/__https://ion.uoregon.edu/neuroai__;!!K-Hz7m0Vt54…>) in the Murray and Mazzucato labs. In our research, we seek to uncover the principles of how the brain performs computations related to sensory perception, decision making, and motor control. While previous experience in computational neuroscience and machine learning are desirable, applicants from other quantitative fields (e.g. math, physics, statistics, computer science) who are eager to learn about neuroscience are highly encouraged to apply as well. Some of the scientific questions that motivate our work are * How do different regions of the brain interact to learn new motor skills? * What are the neural mechanisms underlying optimal performance in complex cognitive tasks? * What are the principles that enable brains and artificial agents to learn efficiently from experience while minimizing forgetting? * How can neural circuits generate the complex dynamics enabling naturalistic animal behavior? Our labs aim at building mechanistic models of brain function grounded in a combination of theoretical approaches, neural network-based simulations, and statistical analysis of experimental data. The candidate will have the opportunity to collaborate with a large network of experimental collaborators at University of Oregon and at other institutions with expertise in sensory processing (visual, auditory, and olfactory), motor control, naturalistic behavior, neural engineering, and brain-computer interfaces. The Oregon NeuroAI Center is part of the Institute of Neuroscience at the University of Oregon (ion.uoregon.edu<https://urldefense.com/v3/__http://https.ion.uoregon.edu__;!!K-Hz7m0Vt54!jj…>), a major hub for systems and theoretical neuroscience research. The successful candidate will also join our International Network for Bio-Inspired Computing (in-bic.org<https://urldefense.com/v3/__http://www.in-bic.org__;!!K-Hz7m0Vt54!jjW_DXqAj…>), a worldwide consortium of NeuroAI groups that provides trainees with an extended network for collaboration, including trainee exchanges, workshops, and schools. The University of Oregon is located in Eugene, Oregon, a vibrant college town in the Pacific Northwest with ample cultural offerings and phenomenal access to outdoor recreation. We offer a competitive salary commensurate with the candidate’s experience, and remote work arrangements may be considered. Our Institute strongly advocates for inclusivity in science, and we encourage applications from underrepresented groups. Required Qualifications Successful candidates will have a PhD in a quantitative field, including physics, neuroscience, mathematics, statistics, computer science, or related fields. Applicants should have a strong quantitative background including at least some coding experience. Application The application can be found here: https://academicjobsonline.org/ajo/jobs/28843. Application reviews will start on December 1st and will continue until the position is filled. Inquiries can be sent to James Murray (jmurray9 at uoregon dot edu) or Luca Mazzucato (lmazzuca at uoregon dot edu). -- James M Murray Assistant Professor Depts. of Biology and Mathematics and Institute of Neuroscience University of Oregon murraylab.uoregon.edu<https://urldefense.com/v3/__https://murraylab.uoregon.edu__;!!K-Hz7m0Vt54!j…>

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1st CFP ESANN 25: Special Session on ML and applied AI in COGNITIVE SCIENCES and PSYCHOLOGY
by Alfredo Vellido Oct. 11, 2024

Oct. 11, 2024

> > > > > * apologies for cross-posting* > > > > **Special Session on ML and applied AI in COGNITIVE SCIENCES and PSYCHOLOGY** > > > > **ESANN 2025**: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning > > 23 to Friday 25 April 2025 > > > > https://www.esann.org/ESANN2025specialsessions#psycho > > > > *************************************************** > > On the wake of the finalisation of the European flagship Human Brain Project and similar initiatives around the world, it has become clear that Cognitive Science has become a data-centric endeavour. Cognitive Science is an interdisciplinary research field comprising neuroscience, psychology, linguistics, artificial intelligence, and philosophy. In particular, mental health is an important topic both for Cognitive Science and Healthcare. Data-based approaches stemming from Artificial Intelligence and particularly from Machine Learning are important tools in the pursuit of personalized medicine goals as means for improvement in diagnosis, prognosis and treatment. In the medical domain in general, both the trustworthiness of models and the explainability of methods are relevant for the adoption of such machine learning-based approaches in clinical diagnosis and treatment. This session will consider developments in the field of applied Artificial Intelligence for Cognitive Science, with a focus on medical applications. Topics of interest are, among others: > > - Neuroscience > > - Psychology and Psychiatry > > - Neurodegenerative diseases > > - Linguistics > > - Philosophy > > - Artificial Intelligence applications for diagnosis, prognosis and treatment of cognitive impairments and pathologies. > > - Patient cohort analysis. > > - Interpretable and explainable artificial intelligence methods in Cognitive Science. > > - Personalized medicine. > > - Artificial Intelligence–based medical devices regulation. > > > > **IMPORTANT DATES** > > Deadline for submissions: 20 November 2024 > > Notification of decisions: 24 January 2025 > > > > We are looking forward to seeing you in Bruges! > > **Organizing Committee**: Caroline König and Alfredo Vellido (UPC Barcelona Tech, Spain), Steffen Moritz (University Medical Center Hamburg-Eppendorf, Germany), Susana Ochoa (Parc Sanitari Sant Joan de Déu, Spain) > > >

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Postdoc Position in Computational Neuroscience and Neuroimaging at UNC-Chapel Hill
by Li, Guoshi Oct. 10, 2024

Oct. 10, 2024

Dear Colleagues, A postdoctoral research associate position is available in the Department of Radiology, at UNC-Chapel Hill (https://guoshi.web.unc.edu/recruit/) The postdoctoral researcher will carry out research on computational neuroimaging and neuroscience using functional/diffusion MRI and PET data. Potential research projects include, but are not limited to, mechanistic identification of excitation-inhibition imbalance in Alzheimer's disease using fMRI/DTI and amyloid and tau PET, large-scale mapping of disrupted circuit interactions in major depressive disorders, and accurate localization of seizure onset zone via multiscale neural model inversion of resting-state fMRI. Initial appointment is for one year, with the possibility of renewal up to 3 years based on mutual agreement. A preferred start date of the position is November/December 2024, although it can be flexible. Candidates should have a strong background in computational neuronal modeling and neuroimaging analysis. Interested candidates are encouraged to contact Dr. Guoshi Li (guoshi_li(a)med.unc.edu<mailto:guoshi_li@med.unc.edu>) with a CV and a brief description of research interest. Thank you for your attention! Best regards, Guoshi Li https://guoshi.web.unc.edu/

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Postdoc positions in cognitive neuroscience and computational psychiatry, University of Tuebingen, Germany
by Susan Fischer Oct. 10, 2024

Oct. 10, 2024

**Apologies for cross-posting** Dear colleagues, The "Developmental Computational Psychiatry" lab and the W3 professorship "Computational Psychiatry" led by Tobias Hauser at the University of Tübingen (Germany) is currently hiring new postdocs. The focus of the lab is to better understand the computational and neural mechanisms underlying decision making and learning, and how these processes go awry in patients with mental illnesses. The successful candidates will have the chance to work in a highly dynamic and inspiring environment and to collaborate closely with Prof Peter Dayan and the Max-Planck Institute for Biological Cybernetics. Concretely, we are looking for the following candidates: * Postdoc with experimental & neuroimaging background * Postdoc with computational modelling background * Postdoc with experimental computational modelling background More information about the positions can be found here: https://devcompsy.org/join-the-lab/ Interested candidates are encouraged to reach out to Tobias Hauser directly to informally discuss the positions. Best regards, Susan. ************************************************ Susan Fischer Coordinator Alexander von Humboldt Professorship Prof Peter Dayan & W3-Professorship ‘Computational Psychiatry’, Prof Tobias Hauser Eberhard Karls Universität Tübingen Equal Opportunities Officer Max Planck Institute for Biological Cybernetics Max-Planck-Ring 8 72076 Tübingen Germany ************************************************

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Open-rank Tenure-track Faculty Position in Assistive Technology for Disabilities
by Yu Zhang Oct. 9, 2024

Oct. 9, 2024

*Open-rank Tenure-track Faculty Position in Assistive Technology for Disabilities* The P.C. Rossin College of Engineering & Applied Science at Lehigh University invites applications for an open-rank tenure-track faculty position in the area of Assistive Technology for Disabilities with an anticipated start date of July 1, 2025. The position is aligned with the ongoing Disability Interdependence across the Lifespan using Assistive Technology (DILAT) initiative. Applicants are required to possess an earned Ph.D. in Bioengineering, Electrical Engineering, Mechanical Engineering, or another relevant engineering discipline by the date of hire. The primary departmental affiliation for this position within the Rossin College will be determined based on the alignment of expertise and interests between the candidate and the department. This search seeks candidates who have interdisciplinary expertise and a strong track record of productivity and publishing in one or more of the following research areas: wearable medical devices, robotics, smart assistive devices, rehabilitation devices, prosthetics, and computational approaches to assistive technologies for disabled populations. The successful candidate will be expected to develop platform technologies that can be adapted to address physical, sensory, cognitive, and developmental disabilities across the lifespan. This position is aligned with Lehigh’s strategic research investment in interdisciplinary approaches to improving health through assessments and interventions that occur outside of traditional healthcare settings. This position will leverage collaborations and resources within Lehigh’s College of Health and additional key investments made by the University in the new Health, Science, and Technology (HST) building, a hub of interdisciplinary health/biomedicine research. The successful candidate will be expected to teach undergraduate and graduate courses in the affiliated department and contribute to departmental, college, and university service. Candidates must also be committed to the enhancement of a diverse, equitable, and inclusive environment in which world-class faculty, staff, and students can thrive to their full potential. *Review of Applications* — For full consideration, applications should be received online by November 7, 2024. Review of applications will continue until the position is filled. Applicants should submit materials at https://academicjobsonline.org/ajo/jobs/28805. Candidates should submit the following materials for evaluation: 1) a cover letter, 2) curriculum vitae (CV), 3) a Research Statement that describes past scholarly contributions and future research directions, 4) a Teaching Statement that describes instructional philosophy and courses that the candidate plans to teach or develop, 5) a statement on contributions to diversity, equity, and inclusion (DEI) that describes knowledge, prior DEI experience, and the candidate’s future plans for enhancing community and culture at Lehigh (the Lehigh ADVANCE Center’s guide for understanding and preparing such statements is available here <https://advance.cc.lehigh.edu/sites/advance.cc.lehigh.edu/files/Applicant-F…>), and 6) names and contact information of at least three references. Any inquiries regarding this search should be directed to Professor Yu Zhang, chair of the Search Committee at inbioe(a)lehigh.edu. -- Yu Zhang, PhD Associate Professor Department of Bioengineering Lehigh University

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PhD/PostDoc in Mainz, Germany
by Janina Hesse Oct. 9, 2024

Oct. 9, 2024

At the Computational Resilience Group in Mainz, we are looking for a PhD student or post doc interested in working at the interface of mathematical modelling of complex systems, advanced data analysis and psychology/ biology, with the aim to understand the neuronal and dynamical foundation of stress resilience. Details here: https://lir-mainz.de/assets/lir_84_doctoral-candidate-or-postdoc_eng_aktuel… With kind regards, Jun.-Prof. Dr. Janina Hesse Group leader Computational Resilience Research Pronouns: she/her Leibniz-Institut für Resilienzforschung (LIR) gGmbH Wallstraße 7 55122 Mainz www.lir-mainz.de<http://www.lir-mainz.de/> Telefon: +49 (0) 6131 89448-44 E-Mail: Janina.Hesse(a)lir-mainz.de [cid:2fdf5eab-1460-426f-9744-1857cc24ee94] Aufsichtsratsvorsitzender: Dr. Frank-Dieter Kuchta Geschaeftsfuehrer: Prof. Dr. Klaus Lieb, Prof. Dr. Beat Lutz (wissenschaftlich), Dr. Thorsten Mundi (kaufmaennisch). HRB 48032, Amtsgericht Mainz Diese E-Mail enthaelt vertrauliche und/oder rechtlich geschuetzte Informationen. Wenn Sie nicht der richtige Adressat sind oder diese E-Mail irrtuemlich erhalten haben, informieren Sie bitte sofort den Absender und loeschen Sie diese E-Mail. Das Kopieren sowie die Weitergabe dieser E-Mail und der darin enthaltenen Informationen ist nicht gestattet. This email may contain confidential and/or privileged information. If you are not the intended recipient (or have received this email in error) please notify the sender immediately and delete this e-mail. Any unauthorized copying, disclosure or distribution of the material in this email is strictly forbidden. Unsere Hinweise zum Datenschutz finden Sie hier: https://lir-mainz.de/datenschutz

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