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available at the University of Stuttgart in the Faculty of Computer Science, Electrical Engineering, and Information Technology. The professorship will be part of the Institute for Large Area Microelectronics
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you contribute You are studying industrial engineering, physics, computer science, mechanical engineering, computational engineering science or a comparable engineering degree programme You are already
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international conferences to present your own work. Your Profile Masters degree with subsequent PhD in computer science (or a related field). Rich experience in devising machine learning models, methods, and
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. Christoph Bareither), computer science (Prof. Dr. Carsten Eickhoff and Dr. Harrisen Scells), psychology (Prof. Dr. Sonja Utz) and Neuroscience (Prof. Dr. Kerstin Ritter), and will collaborate with several
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sustainable in-house expertise Your Profile: PhD in any field with strong bioimage analysis component, computer science, data science, computational biology or a related field Several years of relevant
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technology-mediated learning environments, or how AI can be used to support these processes. This PhD will combine learning analytics, computational methods, and causal inference to understand social
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Deadline 15 Oct 2026 - 22:00 (UTC) Country Germany Type of Contract To be defined Job Status Other Offer Starting Date 18 Sep 2026 Is the job funded through the EU Research Framework Programme? Not funded by
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Vacancy for fields of study such as: Automation Engineering, Electrical Engineering, Computer Science, Mathematics, Control Engineering, Software Engineering, Computer Engineering, Surveying
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Max Planck Institute for Intelligent Systems, Stuttgart, Stuttgart | Stuttgart, Baden W rttemberg | Germany | about 1 month ago
Master‘s program in computer science, mechanical engineering, applied mathematics, physics, computational engineering, or a related discipline, have excellent programming skills in Python and C++, have
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at least one of the following areas: Combustion, Fluid Mechanics, Acoustics, Control Engineering, Dynamic Systems, Scientific Computing. Experience in scientific computing and numerical simulation