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, including gas turbines and combustion engines. We combine advanced computational fluid dynamics, theory, machine learning, high-performance computing, and experimental methods to investigate and model complex
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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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doctoral researcher for REGULAIRE, a Marie Skłodowska-Curie Actions (MSCA) Doctoral Network exploring how regulation learns in the governance of emerging technologies. This is a paid, three-year employment
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” at the Faculty of Humanities. The position is located at an office at the management of the DLA and develops the field of exploring and analyzing analogue archive collections with the help of machine learning
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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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exploring how regulation learns in the governance of emerging technologies. This is a paid, three-year employment contract, not a scholarship, with full training, international mobility and close supervision
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that grants German and foreign students a broad selection of learning opportunities while still maintaining a research focus. The IMPRS-gBGC offers a PhD program specializing in global biogeochemistry
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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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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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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