28 high-performance-computing-postdoc Postdoctoral positions at Technical University of Munich
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04.02.2026, Academic staff The Chair of Human-Centered Technologies for Learning at the Technical University of Munich (TUM) offers exciting Ph.D. and Postdoc opportunities in the cutting-edge field
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mission-driven researcher to join a high-impact joint project with the World Wide Fund For Nature (WWF). We are reimagining how the world’s largest mission driven organizations plan, execute, and measure
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Austria (ISTA). The position is funded for 2 years (Postdoc, 100%, 40h per week) or 3 years (PhD, 75%, 30h per week). Remuneration is in accordance with the German public tariff scheme (TV-L), salary group
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(listed old building) Please send your application as one single PDF file (in English or German) with the subject line “TransforM Postdoc application” to: Institute of History and Ethics in Medicine
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. The postdoc position (m/f/x) is limited to 24 months but can be extended for another 24 months (extension is subject to a positive performance evaluation). About us… Founded in 2002, TUM School of Management is
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training machine learning models (ideally with a focus on LLM), high-performance computing, data management, and software architecture Strong Python programming skills and familiarity with machine learning
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Factory für Postdocs. This project is embedded in the DFG Priority Program Biodiversity Exploratories which offer a multitude of opportunities for collaboration, data sharing and networking. How to apply
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mathematics, physics). For Postdoc applicants: Excellent track record in computer science or engineering. Fluency in spoken and written English is required. Proficient in at least one programming language, e.g
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02.12.2025, Wissenschaftliches Personal As of now, we are looking to extend our team with a full-time Postdoc Position: Kinetic Mechanism Development of Low-GWP Fluorinated Refrigerants (m/f/d), TV
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23.10.2025, Academic staff Automated cell culture systems are transforming the way we study complex biological processes. By enabling reproducible, standardized, and high-throughput generation