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encouraged and should be made to Leon Lagnado (l.lagnado@sussex.ac.uk). About you Applicants must have a Ph.D in Neuroscience or a discipline relevant to our research (this could be experimental
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. Training also includes an introduction to various advanced neuroimaging methodologies. Essential qualifications for these positions include: a Ph.D. in Neuroscience, Computer Science, Bioengineering
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graph theory. Qualifications Candidates with a Ph.D. in any area of cognitive neuroscience broadly defined (e.g., Psychology, Neuroscience, Computer Science, or a related field) are welcome to apply
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-brain barrier research. Ideal candidates will have: 1.A PhD in the life sciences 2.A solid background in cell culture and tissue engineering approaches 3.Knowledge in Neuroscience and Stem Cell Research 4
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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
Research Field Neurosciences » Neurobiology Neurosciences » Neurology Neurosciences » Other Researcher Profile Recognised Researcher (R2) Country Sweden Application Deadline 12 Sep 2025 - 21:59 (UTC) Type
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Ref.: 533004 Work type: Full-time Department: School of Biomedical Sciences
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Previous Job Job Title Post-Doctoral Associate - Department of Neuroscience Next Job Apply for Job Job ID 369104 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary
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, and computational tools. We are looking for a highly motivated individual with a strong background in cellular/systems neuroscience, but also welcome applicants with strong quantitative skills from
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Posting Details Posting Details Posting Number S06560P Position Title Post-Doctoral Research Associate Functional Title Department Neuroscience Salary Range $62,232, DOQ Pay Basis Monthly Position
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ability, strong mathematical background, computer programming experience. About the Department Neuroscience is the scientific study of the nervous system. It is an interdisciplinary science that