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to ambitious research at the intersection of machine learning, neuroscience, and computational biology. This role centers on computational neurobiology and the use of modern AI/ML methods to model brain circuits
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of grant proposals. Required Qualifications • PhD in Neuroscience, Biomedical Engineering, Psychology, or a closely related quantitative field. PhD must be awarded no more than four years prior
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about research and have degree-level experience biological sciences, biochemistry, neuroscience or a related field. Experience in chick embryology, basic molecular biology, in situ hybridization
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EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than
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neuroscience community, and there are opportunities for collaboration between departments, institutes, and Universities involved in the project. The primary appointment is in Biomedical Engineering and/or
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Engineering, Electrical Engineering, Computer Science and Engineering, Neuroscience, Applied Mathematics, or another closely related engineering or quantitative discipline is required. Certification and
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collaborative research environment and will work closely with investigators across psychiatry, neuroscience, engineering, data science, and neuroimaging methods. The position provides opportunities to collaborate
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the cognitive neuroscience of language, multilingualism and spatial cognition, including entorhinal cortex based spatial grids and cognitive maps. The ideal candidate holds a degree in Biomedical Engineering
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cellular neuroinflammation in CNS injury models. Candidates will work alongside additional team members in the VT-School of Neuroscience, Fralin Life Science Institute and The Center for Neurotrauma Research
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cellular neuroinflammation in CNS injury models. Candidates will work alongside additional team members in the VT-School of Neuroscience, Fralin Life Science Institute and The Center for Neurotrauma Research