268 learning-"https:" "https:" "https:" "https:" "https:" "https:" positions in Germany
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- Technical University of Munich
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uncertainty, since misclassifications can lead to poor energy management decisions or inappropriate building automation responses. The goal of this project is to design and validate a machine learning framework
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molecule interaction modeling, polymer physics, and statistical inference to investigate RNA structure, function, transport, and regulatory mechanisms in health and disease. AI and Machine Learning for RNA
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19.08.2026 Application deadline : 15.11.2026 The Tübingen AI Center invites applications for two tenured full professorships (W3) in Machine Learning and Intelligent Systems (m/w/d), to start as
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procurement not just to buy new technologies, but to learn about them? TUM is hiring a doctoral researcher for REGULAIRE, a Marie Skłodowska-Curie Actions (MSCA) Doctoral Network exploring how regulation learns
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visits abroad. This international exposure enriches perspectives and fosters cross-cultural learning, ultimately enhancing the quality of research outcomes. BIGS-LF does not offer PhD positions. You need
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experimental design. Adapt, develop and learn new tools, software, and methodologies independently. Present and publish research in both academic and non-academic audiences. Attend and participate in academic
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10.06.2026, Academic staff A post-doctoral position is available in Physics-informed Generative Modeling and Multiscale Learning. The successful candidate will work at the interface of physics-based
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status as a comprehensive university allows for multidisciplinary learning and teaching at JGU, in turn, paving the way for internationally renowned, interdisciplinary research. Almost all of its faculties
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methods You will work closely with: - Dr. Martin Ramacher (machine learning for environmental applications) - Dr. Matthias Karl (urban air quality modelling and emissions) and collaborate within a project
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
background, nationality, ethnicity, sexual identity, physical abilities, religion or age. Qualified applicants with physical disabilities will be given preference. Learn more about diversity at Helmholtz