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into real-world applications in Geriatronics. Your Profile PhD in Robotics, Mechanical Engineering, Electrical Engineering, Computer Engineering, Mechatronics, or a closely related field. Proven experience in
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and the Institute for AI and Informatics in Medicine, both at TUM and the TUM University Hospital (Klinikum rechts der Isar). We develop and translate advanced machine learning for 3D/multimodal medical
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degree or PhD in Computer Science, Electrical Engineering, Control Systems, or a closely related field. Experience in reachability analysis, formal verification/model checking, control theory, or related
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at Université de Lille (France). We are looking for candidates with an outstanding Master’s degree (or quivalent) in chemistry, polymer science, or a closely related discipline, with a strong interest in
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area has received best paper awards at PacificVis and Graph Drawing, with recent publications in IEEE Transactions on Visualization and Computer Graphics and Computer Graphics Forum. Environment
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. Candidates must be eligible for TUM’s Doctoral Program and must not already hold a doctoral degree. Academic background: MSc in Industrial Engineering and Management, Robotics, Engineering, Systems Engineering
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Master's degree in Mathematics, Statistics, Operations Research, Industrial Engineering, Computer Science, Data Science or a related field Strong mathematical and analytical skills for model formulation
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, and computation Excellent communication skills in spoken and written English Our offer Remuneration and benefits in accordance with the collective agreement for the public service (TV-L E13
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, Human-Computer Interaction, and their responsible applications. Ideal candidates will have: An M.Sc. degree (or equivalent) in Computer Science, Game Engineering, Mathematics, Statistics, or related
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development of an optimized immobilization protocol aiming for high activity, stability, and reusability. The Department of Chemistry of Biogenic Resources at the Technical University of Mu-nich's Straubing