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Field
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international research network in the field of educational research with an integrated PhD training program. The successful candidate is expected to specialize in research methods (potential areas of expertise
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following areas: Mathematical Analysis/ Numerical Analysis/ Theoretical Machine Learning Please note: Applications from candidates with degrees in other disciplines (e.g., Computer Science, Engineering) will
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computers, with a focus on partial differential equations (PDEs). Your tasks may include the following: Further development of discretization techniques: Optimize the spatial discretization methods used in
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Max Planck Institute for Gravitational Physics, Potsdam-Golm | Potsdam, Brandenburg | Germany | 22 days ago
Job Offer from November 03, 2025 The "Computational Relativistic Astrophysics" division at the Max Planck Institute for Gravitational Physics (the Albert Einstein Institute) in Potsdam led by Masaru
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working with Dr. Natalia Lahén on Computational Galaxy Evolution. The ERC-funded project ILMATAR focuses on the formation of globular clusters and the first galaxies in high-resolution hydrodynamical
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for the treatment of infectious diseases. As part of the structured doctoral program International Leibniz Research School ILRS 2.0, we invite talented candidates to apply for 9 Doctoral Researcher (m/f/div
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Postdoctoral researcher (m/f/d) in the field of physics, physical engineering, technical computer sc
To strengthen our team in the division “Acoustic and Electromagnetic Methods" in Berlin-Steglitz, starting 01.01.2026, we are looking for a Postdoctoral researcher (m/f/d) in the field of physics
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time 100 %, initially limited for 4 years with possible tenure) The department Computational Social Science (CSS) collects digital behavioral data and provides computer-based methods for collecting and
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Fixed-term contract until December 31, 2028 Your tasks: The Chair of Computer Graphics and Multimedia Systems researches methods for processing, merging, and representing real-world scenes using data
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willingness to learn: High-performance computing (distributed systems, profiling, performance optimization), Training large AI models (PyTorch/JAX/TensorFlow, parallelization, mixed precision), Data analysis