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data science, bioinformatics, computer science, or a related field. Strong quantitative skills and experience with R and Python are expected. Experience with cohort data, app-based data, electronic
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field of machine learning and training neural networks Good Python skills, preferably some experience with PyTorch Ideally, knowledge in computer vision and object detection/segmentation Motivation to
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difference. For themselves, for us and for the markets of today and tomorrow. Call for applications for disciplines such as: electrical engineering, computer science, control systems, or related
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the Fraunhofer Institute IAO and the Fraunhofer Institute IPA under a shared vision. We bring together researchers from physics, mathematics, computer science, communications, economics, and political
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equivalent) in computer science, data science, applied mathematics, physics, materials science, or a related field. Solid background in machine learning and/or computer vision. Interest in
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Grafing bei München, Bayern | Germany | 2 months ago
methods that tell us whether any of it can be trusted. We sit at the meeting point of machine learning methods and biomedical application, embedded in Helmholtz AI, the Computational Health Center, and
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und Stellenangebote > Academic staff > PhD in Computer Science – Institute for AI and Informatics in Medicine (AIIM) Back to News Board Browse in News Full-Time | TV-L E13 | Limited
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and for the markets of today and tomorrow. The Fraunhofer Institute for Digital Medicine MEVIS is a world-leading and internationally connected research center for computer assistance in medicine
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university. Accordingly, we welcome all applicants who would like to commit themselves, their achievements and productivity to the success of the whole institution. At the Faculty of Computer Science
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Application deadline: 23 September, 2026 Developing computational models and running computer simulations in science and engineering still requires substantial expert knowledge. Agentic artificial