- Comp-neuro - lists.cnsorg.org

PhD position - Model-predictive control of brain plasticity for optimal non-invasive brain stimulation

by Caroline Lea-Carnall

We are looking for a PhD student to come and work with us at the University of Manchester. Please get in touch via the link below if you are interested! About the Project Neuroplasticity is the mechanism that underpins the brain’s ability to learn or recover from traumatic events, but also its deterioration underlies several Neurodegenerative diseases and mental illnesses. It is an umbrella term that encompasses multiple processes occurring at different spatial and temporal scales (1, 2). The most commonly discussed type of plasticity is long-term potentiation (LTP) which is defined as an increase in efficacy between synapses of two neurons. Experiments designed to measure LTP are often done in cell slices or cultures using patch-clamp techniques. However, we often want to promote (and measure) plasticity in humans in-vivo but it is not clear how changes in synaptic efficacy manifest in macroscopic non-invasive imaging measurements such as magnetic resonance imaging (MRI), magnetic resonance spectroscopy (MRS), or electroencephalography (EEG) that are available for use in humans. This project aims to link our detailed cellular-level knowledge of plasticity processes with systems-level observations in humans and is focused on answering the following 2 questions: 1. How can we modulate plasticity non-invasively in the brain? 2. How can we measure plasticity in vivo? To answer these questions you will combine mathematical/computational modelling of biophysically realistic large-scale neural networks that exhibit plasticity with cutting-edge neuroimaging techniques to test the model predictions. The model will be adapted so that its output can be compared to the three major imaging techniques described above and you will determine how changes in connectivity between and within brain regions in the model predict changes in our imaging metrics. There will be a particular focus on developing an EEG marker of plasticity as this currently does not exist. Finally, you will test the model predictions in an imaging study combining brain stimulation, EEG, MRI and MRS in a proof-of-concept experiment in humans. This will provide us with a deeper understanding of how to modulate and measure plasticity that can be deployed in the future for medical applications of brain stimulation such as in Parkinson’s disease, depression and pain control. Link to project: https://www.findaphd.com/phds/project/epsrc-dtp-model-predictive-control-of…

May 25, 2023

PhD and postdoc positions to investigate the biophysical basis of neural computation with machine learning

by pedro goncalves

Dear all, Our lab was recently founded at the Neuro-Electronics Flanders (NERF), Belgium. We are currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning. In this context, we are looking for a PhD and a postdoc interested in using computational tools to investigate how the complex biophysics of single neurons gives rise to the dynamics of neural populations. These projects will make use of our previously developed machine learning methods, and depending on the selected candidates' interests, can involve further method development. More details about the positions and the lab can be found at http://jobs.vib.be/j/57438 http://jobs.vib.be/j/57439 Best wishes, Pedro Gonçalves --------------- Pedro Gonçalves Principal Investigator at NERF, a joint research initiative by imec, VIB, and KU Leuven https://goncalveslab.sites.vib.be/en

May 24, 2023

Information theory workshop at CNS*2023 -- call for contributed talks

by Joseph Lizier

Dear all, We are pleased to announce that the Workshop on Methods of Information Theory in Computational Neuroscience<https://bit.ly/cns2023itw> will be held once again at the 32nd Annual Computational Neuroscience Meeting (CNS*2023<http://www.cnsorg.org/cns-2023> conference), in Leipzig, Germany. The workshop will be held during sessions over the final two days of the main conference, July 18 and 19, 2023. Our confirmed speakers so far include the following: * Jürgen Jost, Max Planck Institute for Mathematics in the Sciences, Leipzig * Sarah Marzen, Claremont Colleges, USA * Demian Battaglia, University of Strasbourg * Marilyn Gatica, University of Nottingham * Pedro Mediano, Imperial College London * Nadine Spychala, Univeristy of Sussex * Andreas C. Schneider, Max Planck Institute for Dynamics and Self-Organization, Göttingen * ... more TBA! We would like to <https://abzinger.github.io/202307-CNS2023-ITW.html#call> call for further contributions<https://bit.ly/cns2023itwcall> of talks. If you are interested in contributing a talk, please send a title and abstract to Abdullah Makkeh (abdullah.alimakkeh(a)uni-goettingen.de<mailto:abdullah.alimakkeh@uni-goettingen.de>). Earlier submissions and those from female/minority speakers will be prioritised. Please pay attention to the registration for CNS*2023 (deadlines and fees) as workshop registration at least is required for attendance, and see our website https://bit.ly/cns2023itw for more details. We hope you will join us there! Organising Committee: Abdullah Makkeh (co-chair) Michael Wibral (co-chair) Joseph Lizier Pedro Mediano

May 23, 2023

CfP: The 16th International Conference on Brain Informatics (BI'23)

by Feng Liu

+++++++++++++++++++++++++++++++++++++++++++++++++++++++++ CALL FOR PAPERS The 16th International Conference on Brain Informatics (BI'23) August 1 - 3, 2023 Hoboken & New York – USA The key theme: Brain Science meets Artificial Intelligence Conference homepage: wi-consortium.org/conferences/bi2023/ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++ *** IMPORTANT DATES *** - 24 May 2023: Full Paper Submission Deadline - 01 Jun 2023: Abstract Submission Deadline *** Confirmed Keynote Speakers *** - Professor Emery N. Brown Member of the National Academy of Sciences Member of the National Academy of Engineering Member of the National Academy of Medicine MIT, Massachusetts General Hospital, USA - Professor Bin He Fellow of International Academy of Medical and Biological Engineering (IAMBE) Fellow of American Institute of Medical and Biological Engineering (AIMBE) Fellow of Biomedical Engineering Society (BMES), and IEEE Member of the National Academy of Inventors Carnegie Mellon University, USA - Professor John Ngai Director of NIH BRAIN Initiative NIH BRAIN Initiative, USA - Professor Helen Mayberg Member of the National Academy of Sciences Member of the National Academy of Medicine Member of the National Academy of Inventors Member of the American Academy of Arts and Sciences Mount Sinai Medical Center, USA - Professor Vinod Goel Author of monographs: “Sketches of thought” and “Reason and Less: Pursuing Food, Sex, and Politics” York University, Canada - Professor Amy Kuceyeski Director of Computational Connectomics (CoCo) at Weill Cornell Medicine Cornell University, USA - Dr. Grace Hwang Director, NINDS, NIH *** Local information *** *The location of the BI2023 in the beautiful campus of Stevens Institute of Technology in Hoboken, New Jersey, located on the west bank of Hudson River overlooking Manhattan. Stevens is close to a group of finest universities such as Princeton University (1.5 hours drive), Columbia University (25 min drive), New York University (20 min drive) and Yale University (1h 40 min drive). *Convenient transportation: (1) Nearby there are three major airports: Newark, JFK, and LaGuardia with direct flights to all major cities in the world. (2) 15 minutes to Time Square by bus. *An economic accommodation option: $100 dorm room option is available in the newly completed University Complex Center Building with a view of Manhattan (limited spaces) ***About the conference*** The International Conference on Brain Informatics (BI) series has established itself as the world's premier research conference on Brain Informatics, which is an emerging interdisciplinary and multidisciplinary research field that combines the efforts of Cognitive Science, Neuroscience, Machine Learning, Data Science, Artificial Intelligence (AI), and Information and Communication Technology (ICT) to explore the main problems that lie in the interplay between human brain studies and informatics research. The 16th International Conference on Brain Informatics (BI'23) provides a premier international forum to bring together researchers and practitioners from diverse fields for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences on Brain Informatics research, brain-inspired technologies and brain/mental health applications. *** Topics and Areas *** The key theme of the conference is "Brain Science meets Artificial Intelligence". The BI'23 solicits high-quality original research and application papers (full paper and abstract presentation submissions). Relevant topics include but are not limited to: Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Research Track 5: Brain-Machine Intelligence and Brain-Inspired Computing ***Journal Opportunities*** High quality BI conference papers may be nominated to submit an extended version for a fast track review and publication at the Brain Informatics Journal (https://braininformatics.springeropen.com/) an international, peer-reviewed, interdisciplinary Open Access journal published by Springer Nature. Real-time Journal's Impact Factor: 8.5. *** Paper Submission and Publications *** Submission link: http://wi-consortium.org/conferences/bi2023/paper%20submissions%20and%20pub… 9-12 pages are encouraged for the regular papers including figures and references in Springer LNCS Proceedings format ( https://www.springer.com/us/computer-science/lncs/conference-proceedings-gu…) Overlength pages will be charged 200$ per page. All papers will be peer-reviewed and accepted based on originality, significance of contribution, technical merit, and presentation quality. All papers accepted (and all workshop & special sessions' full length papers) will be published by Springer as a volume of the Springer-Nature LNAI Brain Informatics Book Series ( https://link.springer.com/conference/brain) Abstract Presentation Submission: Submission link: http://wi-consortium.org/conferences/bi2023/paper%20submissions%20and%20pub… Research abstracts are encouraged and will be accepted for presentations in an oral presentation format and/or poster presentation format. Each abstract submission should include the title of the paper and an abstract body within 1500 words. Note: The abstract will not be included in the conference proceedings to be published by Springer. Special Issues & Books: Workshop organizers can be invited to contribute a book publication in the Springer-Nature Brain Informatics & Health Book Series ( https://www.springer.com/series/15148) or a special issue at the Brain Informatics Journal. *** Workshop & Special Sessions *** Proposal Submissions: BI'23 will be hosting a series of workshops and special sessions featuring topics relevant to the brain informatics community on the latest research and industry applications. Papers & Presentations: A workshop/special session typically takes a half day (or full day) and includes a mix of regular and invited presentations including regular papers, abstracts, invited papers as well as invited presentations. The paper and abstract submissions to workshops/special sessions will follow the same format as the BI conference papers and abstracts. Proposal Guidelines: Each proposal should include: 1) workshop/special session title; 2) length of the workshop (half/full day); 3) names, main contact, and a short bio of the workshop organizers; 4) brief description of the workshop scope and timeline; 5) prior history of the workshop (if any); 6) potential program committee members and invited speakers; 7) any other relevant information

May 22, 2023

Open position: Postdoctoral position in Human Visual Psychophysics with fMRI/MRI, Tuebingen, Germany

by Pavlovic, Maria

Postdoctoral position in Human Visual Psychophysics with fMRI/MRI, (m/f/d) (TVöD-Bund E13, 100%) The Department of Sensory and Sensorimotor Systems (PI Prof. Li Zhaoping) at the Max Planck Institute for Biological Cybernetics and at the University of Tübingen is currently looking for highly skilled and motivated individuals to work on projects aimed towards understanding visual attentional and perceptual processes using fMRI/MRI. The framework and motivation of the projects can be found at: <https://www.lizhaoping.org/zhaoping/AGZL_HumanVisual.html> https://www.lizhaoping.org/zhaoping/AGZL_HumanVisual.html. The projects can involve, for example, visual search tasks, stereo vision tasks, visual illusions, and will be discussed during the application process. fMRI/MRI technology can be used in combination with other methods such as eye tracking, TMS and/or EEG methodologies, and other related methods as necessary. The postdoc will be working closely with the principal investigator and other members of Zhaoping's team when needed. Responsibilities: * Conduct and participate in research projects such as lab and equipment set up, data collection, data analysis, writing reports and papers, and presenting at scientific conferences. * Participate in routine laboratory operations, such as planning and preparations for experiments, lab maintenance and lab procedures. * Coordinate with the PI and other team members for strategies and project planning. * Coordinate with the PI and other team members for project planning, and in supervision of student projects or teaching assistance for university courses in our field. Requirements: * Ph.D. in neuroscience, psychology, computer science, physics or a related natural science or engineering field. * Publications in peer-reviewed journals. * Highly skilled in techniques of human visual psychophysics such as eye tracking, MATLAB programming for experiments, experimental data taking, data analysis, and paper writing. * Highly skilled in fMRI experiments and data analysis. * Experience in project management is highly desired. * Strong command of English; knowledge of German is a plus. Who we are: We use a multidisciplinary approach to investigate sensory and sensory-motor transforms in the brain (www.lizhaoping.org <http://www.lizhaoping.org> ). Our approaches consist of both theoretical and experimental techniques including human psychophysics, fMRI imaging, EEG/ERP, and computational modelling. One part of our group is located in the University, in the Centre for Integrative Neurosciences (CIN), and the other part is in the Max Planck Institute (MPI) for Biological Cybernetics as the Department for Sensory and Sensorimotor Systems. You will have the opportunity to learn other skills in our multidisciplinary group and benefit from interactions with our colleagues in the university, at MPI, as well as internationally. This job opening is for the CIN or the MPI working group. The position (salary level TVöD-Bund E13, 100%) is for a duration of two years. Extension or a permanent contract after two years is possible depending on situations. We seek to raise the number of women in research and teaching and therefore urge qualified women to apply. Disabled persons will be preferred in case of equal qualification. Your application: The position is available immediately and will be open until filled. Preference will be given to applications received by July 31th, 2023. We look forward to receiving your application that includes (1) a cover letter, including a statement on roughly when you would like to start this position, (2) a motivation statement, (3) a CV, (4) names and contact details of three people for references, (5) if you have them, transcripts from your past and current education listing the courses taken and their grades, (6) if you have them, please also include copies of your degree certificates, (7) you may include a pdf file of your best publication(s), or other documents and information that you think could strengthen your application. Please use pdf files for these documents (and you may combine them into a single pdf file) and send to jobs.li(a)tuebingen.mpg.de <mailto:jobs.li@tuebingen.mpg.de> , where also informal inquiries can be addressed. Please note that applications without complete information in (1)-(4) will not be considered, unless the cover letter includes an explanation and/or information about when the needed materials will be supplied. For further opportunities in our group, please visit <https://www.lizhaoping.org/jobs.html> https://www.lizhaoping.org/jobs.html _________________________________ Maria Pavlovic Assistant to Prof. Zhaoping Li Office Hours: 07.00-13.00 Max Planck Institute for Biological Cybernetics Max-Planck-Ring 8 D-72076 Tuebingen phone +49 7071 601 609 fax +49 7071 601 619 <mailto:maria.pavlovic@tuebingen.mpg.de> maria.pavlovic(a)tuebingen.mpg.de <http://www.lizhaoping.org/> www.lizhaoping.org

May 22, 2023

Modellers Workshop for the Brain Dynamics Toolbox

by Stewart Heitmann

Enrolments for the Modeller's Workshop are now open Master the art of programming differential equations in Matlab with the Brain Dynamics Toolbox. This online course is for researchers, students and instructors who wish to use the toolbox to build their own dynamical models. Every step of the process is demonstrated in a short video lecture with a practical focus on programming techniques. Topics include programming Ordinary Differential Equations, Partial Differential Equations, Delay Differential Equations, Stochastic Differential Equations, Auxiliary Plot Functions and command-line tools. Example code is provided in all cases. Study time is 8 hours. Course Website https://bdtoolbox.teachable.com/p/modellers-workshop Toolbox Website https://bdtoolbox.org Important Information The course is limited to 25 students. Enrolments close Sun 11th Jun 2023. Textbook Heitmann & Breakspear (2022) Handbook for the Brain Dynamics Toolbox: Version 2022. ISBN 978-0-6450669-2-0. Disclaimer The information contained in this communication from the sender is confidential. It is intended solely for use by the recipient and others authorized to receive it. If you are not the recipient, you are hereby notified that any disclosure, copying, distribution or taking action in relation of the contents of this information is strictly prohibited and may be unlawful. This email has been scanned for viruses and malware, and may have been automatically archived by Mimecast Ltd, an innovator in Software as a Service (SaaS) for business. Providing a safer and more useful place for your human generated data. Specializing in; Security, archiving and compliance. To find out more visit the Mimecast website.

May 21, 2023

Faculty positions (all ranks) in computational neuroscience at Claremont McKenna College

by Ran.Libeskind-Hadas＠claremontmckenna.edu

Claremont McKenna College’s new Kravis Department of Integrated Sciences (KDIS) seeks faculty members in computational neuroscience who are interested in teaching and mentoring undergraduates. CMC is a liberal arts college that places a strong emphasis on creative pedagogies and involving undergraduates in research. The KDIS faculty will contribute to building an innovative and transformational undergraduate science program organized around three challenges: Health (Genomics, Systems Biology, and Health), Brain (Brain, Learning, and Decision Sciences), and Planet (Climate, Energy, and the Environment). The KDIS faculty will have a key role in developing and implementing a program that will serve as an incubator for new approaches and foster a culture of inclusion, creativity, and continuous improvement. For more information on the department, the college, and applying for our positions, please see our posting on Academic Jobs Online: https://academicjobsonline.org/ajo/jobs/24816

May 21, 2023

Postdoc position in computational neuroscience / decision making, CRM Barcelona

by Klaus Wimmer

Post-doctoral Position in Computational Neuroscience Wimmer Lab, Centre de Recerca Matemàtica, Barcelona, Spain We are currently seeking a postdoctoral researcher to join the Computational Neuroscience Group at the Center for Research in Mathematics (CRM) in Barcelona, Spain (https://www.crm.cat/computational-neuroscience/) Under the supervision of Klaus Wimmer, this position offers an exciting opportunity to combine computational modeling, psychophysics, and EEG to study the computational mechanisms underlying flexible evidence integration in perceptual decision making. Candidates should possess a strong computational background, a keen interest in neuroscience, and hold a PhD in computational neuroscience, cognitive neuroscience, physics, mathematics, or a related field. Experience in designing psychophysical experiments, neuroimaging, and/or developing computational models, computational neuroscience and machine learning is required. The successful candidate will benefit from the vibrant scientific environment of Barcelona, particularly in Theoretical and Systems Neuroscience. Our lab is part of a collaborative network of neuroscience research groups in Barcelona (http://www.barccsyn.org) APPLICATION: Interested applicants are encouraged to promptly email kwimmer(a)crm.cat<mailto:kwimmer@crm.cat> with their CV and motivation letter. STARTING DATE: The position is available immediately, and applications will be reviewed on a rolling basis until the position is filled. Best regards, Klaus Wimmer CONFIDENTIALITY AND PRIVACY NOTICE: This message and the documents that might be attached, are addressed exclusively to their(s) recipient(s) and may contain privileged or confidential information. The access to this information by people other than those designated is not authorized. If you are not the indicated recipient, you are notified that the use, disclosure and / or copying without authorization is prohibited under current legislation. If you have received this message in error, please kindly inform the sender immediately and proceed to its destruction. We inform you that the personal data contained in this document, and in particular your contact information and professional position, are protected in accordance with current legislation on the protection of personal data. Centre de Recerca Matemàtica (CRM) will process the data only for the purpose of managing the relationship you have with us. The data will be kept while the purpose for which it was collected remains. You can exercise at any time your rights to access, rectification and erasure of your personal data, as well as the right to object and restriction of processing. For this, you must contact CRM by email to dpo(a)crm.cat.

May 19, 2023

Postdoctoral Position at the Paris Brain Institute (ICM), Paris, France

by BACCI Alberto

!!! JOB ALERT !!! Postdoctoral Position at the Paris Brain Institute (ICM), Paris, France A Postdoctoral position is available at the ICM - Paris Brain Institute in the group of Alberto Bacci. The ICM is in the heart of Paris, France, part of the Pitié-Salpétrière Hospital, and has a vibrant, multidisciplinary, and internationally recognized neuroscience community. The Project: Our research mainly focuses on the cellular physiology of various elements of cortical microcircuits, the properties and plasticity of their synaptic connections and their contribution to the generation of various cognition-relevant network activities . Through our collaborators, we also study cortical circuit deficits in several animal model of brain disease. The lab uses a combination of single and multiple-cell electrophysiology, 2-photon imaging and electrophysiology in vivo, pharmacology, anatomy, immunocytochemistry, optical manipulations of specific neuron types and computational approaches (through established collaborations). Check our lab website for details and publications: http://baccilab.org/ The successful candidate will work on inhibitory circuits of the prefrontal cortex of mice. In particular, s/he will study the properties and plasticity of synapses connecting a rich diversity of prefrontal cortical neuron subtypes. The successful candidate will also perform and analyze electrophysiological recordings in vivo, using high-density probes. This project is funded by an ERA-Net NEURON international consortium and is focused on the rich diversity of GABAergic interneurons and how they affect the functional states of prefrontal cortical networks in healthy and diseased states. Your Profile: . Applicants must have a background in neuroscience. They must hold (or are expected to complete soon) a Ph.D. or equivalent degree in biology, medicine, physics or bioengineering. . Excellent verbal and written communication skills in English are required. . Experience with in vivo electrophysiology, imaging and/or computational neuroscience is required. . Coding knowledge is required. Applications must consist of a single pdf file and must be sent to alberto.bacci(a)icm-institute.org (subject line must be: Postdoc Application Bacci; DS) Please include: Curriculum Vitae (CV) 1 page summary of previous research Brief statement of current research interest Contact information of at least two referees Highly motivated candidates are encouraged to apply. Applications will be reviewed until the position is filled. Contact Information: Alberto Bacci, Ph.D. ICM - Institut du Cerveau | Paris Brain Institute Sorbonne Université CNRS UMR 7225 - INSERM U1127 Groupe Hospitalier Pitié Salpêtrière 47 Boulevard de l'Hopital 75013 Paris France phone: +33 1 5727 4062 email: alberto.bacci(a)icm-institute.org http://baccilab.org/

May 19, 2023

Postdoctoral Research Fellow in Biocomputation at the University of Hertfordshire, UK

by Volker Steuber

Post Title: Research Fellow in Biocomputation SBU/Department: School of Physics, Engineering and Computer Science ________________________________ FTE: 1 FTE (working 37 hours per week) Duration of Contract: Fixed term Contract (3 years) Salary: UH7 £36,333 pa with potential to progress to £43,155 pa on achieving designated skills and experience Annual Leave: 35 days plus standard public holidays and an additional 4 days including the closure of our office between Christmas and New Year Location: College Lane Campus, Hatfield, UK Closing Date: 14th June 2023 Interview Date: To be confirmed Reference Number: 048016 Date advert placed: 17th May 2023 Main duties and responsibilities We are seeking a full-time Research Fellow to join the Biocomputation Research Group in the School of Physics, Engineering and Computer Science at the University of Hertfordshire to conduct high-quality research in Computational Neuroscience. The successful candidate’s research will involve synergistic collaborations with a multidisciplinary team to investigate brain processes using methodologies such as computational modelling, machine learning and AI. Research to be conducted could, e.g., comprise modelling brain circuits like the olfactory bulb or the cerebellum and simulating and analysing their function. Additional impact could arise in machine learning, AI, data science, neurorobotics and neuromorphic computing. The successful candidate will be expected to establish a programme of research in collaboration with colleagues at UH and partner organisations in the UK and abroad. Leading the preparation and publication of research manuscripts is a key aspect of the role. Contributions to the preparation of research proposals and applications for funding to external bodies, such as the European Commission and the UK Research and Innovation (UKRI) are expected. The postholder will create opportunities to maximise research activities, capturing relevant evidence to support impact and engaging with external partners and stakeholders. Skill and experience required * Strong theoretical, computational and programming background in computational modelling and/or machine learning and/or data science and/or AI. * Background and expertise in computational neuroscience (e.g. spiking neural networks, brain function and anatomy, analysis of brain data). * Demonstrated experience to conduct independent research in computational neuroscience or a related field, e.g., through published research papers or monographs. * Applicants must be proficient in both written and oral English * The applicants must be able to work independently and in a structured manner and demonstrate good collaborative skills. Qualifications required • An undergraduate honours degree (or equivalent) in Computer Science, Physics, Mathematics, Neuroscience, or a related discipline and a PhD (or expectation that one will soon be awarded) in a relevant discipline. An appointment to this role may require an Academic Technology Approval Scheme (ATAS) certificate. Contact Details/Informal Enquiries: Professor Volker Steuber, v.steuber(a)herts.ac.uk Professor Michael Schmuker, m.schmuker(a)herts.ac.uk Apply through: https://www.jobs.herts.ac.uk/go/048016 Our vision is to transform lives: UH is committed to Equality, Diversity and Inclusion and building a diverse community. We welcome applications from suitably qualified and eligible candidates regardless of their protected characteristics and recognise there are different ways applicants may achieve the criteria in this document. We offer a range of employee benefits including generous annual leave, flexible location opportunities within the UK, discounted Sports Village memberships and free Active Staff sessions, personal and professional development and family-friendly policies. Volker Steuber Professor of Computational Neuroscience Biocomputation Research Group School of Physics, Engineering and Computer Science University of Hertfordshire College Lane, Hatfield, AL10 9AB, UK biocomputation.herts.ac.uk<http://biocomputation.herts.ac.uk>

May 17, 2023