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Field
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developing neurotechnologies for treating brain disorders? In this PhD you will work with datasets of neuronal activity in animals and humans. You will apply computational approaches to describe spatial and
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information should be integrated or not. For this purpose, we will use psy-chophysical and neurophysiological methods as well as computational modelling. Tasks in the project include:•Planning and conduction
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funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 25-34-ISGDOC Is the Job related to staff position within a Research Infrastructure? No Offer Description
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Hardware Nodes (PGI-14), Electronics Materials (PGI-7), the Institute of Neuroscience and Medicine - Computational and Systems Neuroscience (INM-6), The Jülich Supercomputer Center (JSC) and the Faculty
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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Netherlands Application Deadline 5 Dec 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a
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Areas of study Neuroscience, Physics, Applied Computer Science, Bioinformatics, Computer Science, Engineering Informatics, Medical Informatics, Chemistry, Analytical Chemistry, Inorganic Chemistry
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applicants typically have backgrounds in computer science, statistics or econometrics but should have an intrinsic interest for marketing problems. The PhD will be supervised by Prof. Dr. Lemmens and funded by
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Max Planck Institute for Medical Research, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 3 months ago
physicists who are interested in working in a world-leading research group. The candidate can apply for admission to the Max Planck School of Photonics or Göttingen Graduate Center for Neurosciences
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additional courses offered by other institutions of the University of Freiburg, which may be held in German. Full-time / part-time full-time Programme duration 6 semesters, 8 semesters Beginning Only