1,525 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions in Germany
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, as well as knowledge exchange. Our expectations International experience in teaching and research, a very good command of the English language, and the ability and willingness to teach in English are
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use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography. Industry
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The Fraunhofer Institute for Digital Medicine MEVIS is a world-leading and internationally connected research center for computer assistance in medicine. With about 140 employees, our mission is to
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range of machines and equipment. 💪 Involvement: Independent project work and room for innovative ideas in applied research. 🧘 Work-life balance: Benefit from flexible working hours based on trust
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is internationally recognized for its expertise in applied electroacoustics and audio engineering, AI-based signal analysis and machine learning, and data privacy and security. Under the motto 'Where
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is internationally recognized for its expertise in applied electroacoustics and audio engineering, AI-based signal analysis and machine learning, and data privacy and security. Under the motto 'Where
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[4], classification [1], ordinal classification [2,3], label distribution learning [5], hybrid methods, etc. Conditions and problematic cases to be examined: missing or small age classes, strong
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during production, consulting, and prototype manufacturing. You investigate how centrifugal forces affect the clamping forces during operation on our turning machines. You derive models from your data
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: Experience or interest in learning the operation and maintenance of systems for AMS measurement of radiocarbon. Experience with vacuum systems for isolation of CO2 , automated combustion systems, or stable
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numerical simulation (FEM), data science Interest in additive manufacturing Programming experience in Matlab/Python Optional: Practical experience in the use of measurement technology/production machines