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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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Technology Chair of Theoretical Information Technology Theresienstrasse 90, 80333 Munich https://www.ce.cit.tum.de/en/lti/team/boche/ The position is suitable for disabled persons. Disabled applicants will be
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are expected to have a M.Sc. or equivalent in engineering, applied math, physics or similar and a solid background in mechanics and numerical methods. Programming skills (any language) are a plus. If
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embedded into the quantum technology network formed by WMI, the Excellence Cluster MCQST (www.mcqst.de), the TU München (www.tum.de), Munich Quantum Valley (https://www.munich-quantum-valley.de/), and many
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a tool to knock down protein expression. The contribution of physics to the life sciences is expanding beyond pure technology towards the development of new physical concepts and theories. Together
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Leibniz-Institut für Festkörper- und Werkstoffforschung Dresden e.V. | Dresden, Sachsen | Germany | 2 months ago
12 Jan 2026 Job Information Organisation/Company Leibniz-Institut für Festkörper- und Werkstoffforschung Dresden e.V. Research Field Engineering » Biomaterial engineering Engineering » Materials
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German Institute for Economic Research (DIW Berlin) • | Berlin, Berlin | Germany | about 16 hours ago
engineering, statistics, or quantitative social sciences) may also fulfil requirements for the programme if applicants have sufficient background knowledge in economics. Applicants whose native language is not
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engineering sciences. The position also includes teaching duties (1 semester hour per week) as well as the supervision of term papers and theses. Required qualifications Applicants must hold a completed
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quantification, and high-performance computing, with applications in the natural and engineering sciences. The position also includes teaching responsibilities equivalent to 4 contact hours per week, as
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conventional design methods Your profile: Completed master's degree in computer science, mechatronics, or electrical engineering. Knowledge of AI/ML methods and frameworks (e.g., PyTorch, TensorFlow). Knowledge