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mathematics, computer science, physics, biomedical or electrical engineering or similar disciplines. Good programming expertise (Matlab, C++, Python or equivalent) and experience with the Linux operating system
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, Oxford, London, and Cardiff (regular cross-site meetings and joint outputs). Requirements PhD in Psychology, Mathematics, Computer Science, Neuroscience, Physics, or a related field. Strong skills in
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Technical University of Munich, Centre for Mathematics Position ID: TUM -DOCPOSTDOCMF [#26826] Position Title: Position Type: Fellowship or award Position Location: Garching, Bayern 85748, Germany
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Max Planck Institute for Mathematics in the Sciences Position ID: 1667 -CLUSTER [#26728] Position Title: Position Type: Postdoctoral Position Location: Leipzig, Saxony 04103, Germany [map
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28 Aug 2025 Job Information Organisation/Company Helmholtz-Zentrum Berlin für Materialien und Energie Research Field Physics Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 14 days ago
research team. The ideal candidate should have: A PhD/DPhil degree (or comparable) with a background in theoretical physics, applied mathematics or related disciplines from a recognized university; Prior
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | about 15 hours ago
our work and our daily collaboration. In a continuous process of learning and reflection, we aim to ensure that all our employees can be themselves and feel a sense of belonging. We welcome applications
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(at)dife.de Dr. Nikolaus Berndt Project Leader MTOX E-Mail: Nikolaus.Berndt(at)dife.de We process your application documents for the purpose of carrying out the application procedure in accordance with Art. 6
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the code “CNTR_25.2” (e.g. “Mustermann,Max_CNTR_25.2”). Please note that there is no application deadline for this application process. Applications will be reviewed in an ongoing manner until
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Ph.D. or equivalent degree in mathematics, physics, computer science, bioinformatics, or a related field Experience in developing deep learning models Ideally, prior experience in analyzing biological