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from the various offers and activities. A list of potential PDS supervisors is available from https://www.uni-goettingen.de/en/577092.html (choose “Data Science” as the programme in the drop-down menu
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neuroscience. For details on current research projects, see: http://www.ruhr-uni-bochum.de/igsn . The study programme includes a semester-wide neuroscience lecture "From Molecules to Cognition", oral and written
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for future professionals https://www.lmu.de/en/workspace-for-students/career-services/ Support for international students and doctoral candidates Welcome event Buddy programme Support with registration
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
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Planck Institute for Astrophysics (MPA), European Southern Observatory (ESO), University Observatory Munich (USM) Teaching language English Languages The IMPRS programme is designed for international
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/ part-time full-time Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline No deadlines For details, see here: https://www.gradschool.physics.uni-bonn.de
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RPTU University Kaiserslautern-Landau • | Kaiserslautern, Rheinland Pfalz | Germany | about 1 hour ago
lectures which are offered by the Physics Department of RPTU within the Master of Science in Advanced Quantum Physics programme: https://physik.rptu.de/quantum-master/ . The detailed programme of
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Leibniz-Institut für Analytische Wissenschaften - ISAS - e.V. | Dortmund, Nordrhein Westfalen | Germany | 16 days ago
-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 390_2026 Is the Job related to staff position within a Research Infrastructure? No Offer
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strong interest in foundational machine learning research and its application to real-world scientific problems. You should bring: A completed university degree (Master or equivalent) in computer