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Scientist/Assistant Research Scientist or Postdoctoral Associate The Family Translational Research Group (FTRG) at New York University is looking for a talented, hard-working person with an interest in
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Machines group is a new group at AMOLF, led by Menachem (Nachi) Stern, and focuses on the development of fundamental understanding and theories regarding learning, from a physical perspective, under real
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study places for the academic year 2026/27. Application Closing Date: 15 November 2025 Start of the study: October 2026 Target group: The program offers graduates with excellent academic records a
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rated as ‘world-leading’ or ‘internationally excellent’. This PhD will be based within the Centre for Space Systems and the Resilient PNT research group, both of which have strong track records in
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candidate. You will work in a highly interdisciplinary group, at the intersection of physics, machine learning and theoretical neuroscience. Our group is focused on investigating dynamics and learning in
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and Gabriele Keller) and machine learning (e.g., Bob Carpenter) if appropriate for your interests. Beyond membership of the FoRECAST team, you’ll join the Software Technology group led by Gabriele
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Location: West Cambridge The world-renowned Cavendish Laboratory is seeking an enthusiastic, self-motivated student who enjoys working as part of a team to undertake a PhD in the NanoPhotonics Group
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 8 days ago
description:PhD position in "Site-fidelity and feeding behaviour of fin whales at Antarctic feeding grounds" (m/d/f) Background You will be part of the Marine Mammal Ecology Working Group in the AWI section Polar
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represent the research group at external seminars and conferences. To be considered, you must hold a PhD/DPhil in statistical genetics, quantitative genetics, bioinformatics, computer science, statistics
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12.09.2025 Application deadline: 20.10.2025 The Plant Ecology Group at the University of Tübingen is searching for a PhD student / doctoral candidate in Plant Ecology (m/f/d, E13 TV-L 65%, limited