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English English English PhD Research Fellow in computational neuroscience/brain physics Apply for this job See advertisement About the job Position as PhD Research Fellow in computational neuroscience
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acceleration. We focus on energy-efficient circuit design and software-hardware co-optimization, with exciting applications in event-based vision. What we’re looking for: A PhD/Master in Electrical and Computer
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needs a relevant PhD, experience with neural networks/computational modelling and programming, and an excellent research track record. Interest in mental health science is preferable. This role meets
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theoretical, computational and experimental methods and our aim is to provide an environment in which these different approaches can be combined and focused on particular topics of practical importance. You
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(R3) Country United Kingdom Application Deadline 29 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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/neuroscience/neural engineering/physics) or near to completion of a PhD, and be experienced in a variety of quantitative research methodologies involving human participants. Additional desirable criteria include
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Performing CRISPR/Cas9 gene editing Differentiation of hiPSCs into microglia and other neural cell types Data analysis and interpretation in collaboration with computational teams Required Qualifications PhD
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2 Oct 2025 Job Information Organisation/Company University of Oslo Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Norway Application
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month ago
). The research You will have the exciting opportunity to establish neural recordings in pairs of freely interacting human subjects, pushing the boundaries of our knowledge in this field. Our unique laboratory
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units in neural networks, which drive both artificial and natural intelligence. Current projects span a wide range of topics in deep learning theory and theoretical neuroscience. For more information and