1,973 computational-physics "https:" "https:" "https:" "https:" "IFM" positions in Germany
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for reinforcement! The group Applied Thermodynamics conducts research into the transformation of industrial energy supply systems with a focus on process heat supply. As part of your master's thesis, you will use a
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Solid State Physics IAF we know our technologies like the back of our hand. Because we are one of the few scientific institutions worldwide to conduct research along the entire semiconductor value chain
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problems in materials science, solid-state physics and chemistry, biology and soft matter. We carry out systematic characterizations using various complementary techniques, including the latest TEM based
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involve the integration of: Advanced motion planning and control algorithms Multi-modal perception techniques (e.g., vision, tactile, force) Machine learning models for physical behavior prediction and
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master’s degree in mathematics, theoretical computer science, machine learning, or a closely related field. Strong background in discrete optimization, algorithms, or reinforcement learning. Good programming
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leader with a focus on data and AI Science to join us as soon as possible. Your qualifications PhD in Computer Science, Mathematics, Physics or related fields Experience in applied data science and machine
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. Equally qualified candidates with disabilities will be given preference in the hiring process. The University of Tübingen is committed to increasing the percentage of women in research and teaching and thus
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Job Id: 11716 Fixed term of 3 years | Full-time with 100% | Salary according to TV-L E13 | Institute of Medical Informatics We are UKM. We have a clear social mission and, with our focus
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Max Planck Institute for Legal History and Legal Theory, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 2 days ago
cosmopolitan city of Frankfurt, the centre of finance, banking, and the legal professions of Europe’s biggest economy, with many law firms and job opportunities for lawyers. The research programme is conducted
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comparative and historical perspective combining data-driven computational approaches with informed institutional analyses of capitalism, insurance finance, housing and welfare states while drawing on theories