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which NC machines are programmed for material removal. Considerable expert knowledge is required for the necessary selection of suitable production tools and the definition of tool movements
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the future of healthcare, science, technology, society, and the environment. Our mission encompasses both theoretical and empirical methods to foster ethical, transparent, and interdisciplinary research
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and is ex-pected to be extended to four years at least. Scientific Environment: The I&E Department and the TIM Group Founded in 2002, TUM School of Management is part of TUM, one of the leading
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world. The workflow spans from analytical chemistry to material science and engineering. There is no need for previous knowledge in the described fields but a strong motivation to learn and push the boundaries of our
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master’s degree in Computer Science, Geodesy, or related discipline Very good programming knowledge, preferably in Python Experience with state-of-the-art machine learning or data science technologies
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optimization or discrete algorithms. Profound mathematical modeling and programming skills. Experience with the design and analysis of graph algorithms or multiobjective optimization models is a plus. Very good
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good programming knowledge, preferably in Python Experience with state-of-the-art machine learning or data science technologies Experience with remote sensing data is a plus Experience with industry
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of the behavior of machine elements • Development and validation of physically based models for the prediction of wear and damage • Publications at international conferences and in scientific publications. Your
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27.09.2023, Wissenschaftliches Personal The Holzforschung München of the Technische Universität München with the professorships for "Wood Science", "Wood Technology" and "Fungal Biotechnology in
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participation in the related Graduate School training programs. Qualifications The applicants should possess: an excellent or very-good university degree in economics, business studies, agricultural sciences with