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is looking for a PhD student / PostDoc (f/m/d) The Mission Understanding how multicellular systems organize themselves into tissues is a central challenge in modern biology and biophysics. Our group
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 3 months ago
pipeline, building on existing deep learning models in meteorology and climate science Your Profile PhD in computational science, mathematics, physics, or a related subject Experience with machine-learning
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. In the ELUD research project, we address the question of if and when learning agents converge to an efficient equilibrium and when this is not the case. ELUD will design new algorithms for computing
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support and offer all students fair educational opportunities regardless of their background. Artificial intelligence, particularly in the form of large language models (LLMs), is widely regarded as a
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program within the GreenRobust Cluster of Excellence, and access to first class instrumentation and facilities. The PhD students will be part of an interdisciplinary PhD school with a structured supervision
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of knowledge, communication, and media psychology Contributing to examinations, supervising student theses, and participating in administrative duties Conducting independent research aligned with the group’s
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02.07.2025, Academic staff The Professorship of Energy Management Technologies at TUM’s School of Engineering and Design is looking for a Postdoc (f/m/d) in Energy Informatics. You are passionate
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Max Planck Institute for Biological Intelligence (Martinsried site), Martinsried | Germany | 8 days ago
environments. Supporting the design and execution of animal experiments in confined, semi-naturalistic, and open‑environment settings (Mouse City and Seewiesen). Co-supervising students and assisting in
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of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer
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-of-the-art molecular and computational tools. The project seeks to accelerate global biodiversity discovery by making museum collections more accessible through open data and to advance our understanding