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, enrolled in a Bachelor’s or Master’s program in economics, finance, data science, or a related field. Comfortable using Stata or Python/R (or other analytical tools). Detail-oriented, methodical and able
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interdisciplinary and transdisciplinary research at the interface between data science, life sciences, and bioeconomics. The professor will closely cooperate with the TUM School of Computation, Information and
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, or communications engineering You have experience with Python, LabView or Julia programming languages and their development environments Experience with optical design and/or CAD software is a plus You
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initiatives, Collaborating with and training of scientists within TERRA projects in the field of research-data management. Candidates should have completed an MSc in natural or computer sciences, should have
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/d) in Energy Informatics, specifically for a DFG project in wind power forecasting using machine learning. You are passionate about applying cutting-edge information technology to solve the energy and
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documentation. - Supporting the team in preparing and implementing various informed machine learning models for benchmarking and analysis. Desirable: - Currently enrolled in a Bachelor's or Master's program in
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tenured W3 position. ScientificEnvironment The professorship will be assigned to the Department of Engineering Physics and Computation at the TUM School of Engineering and Design. Responsibilities
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team Exciting, varied tasks Individual training opportunities Offers as part of the company health management program Subsidy for the Deutschlandjobticket Supplementary pension scheme (VBL) Flexible
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Technomathematics, computer science, engineering, physics, mathematics or natural science or equivalent degree Very good knowledge of techniques and methods of computer-aided sciences Knowledge and experience in
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, voltage converter modules for electromobility, laser systems for measurement processes, or innovative hardware and software for quantum computers and quantum sensors: we develop tomorrow’s technology in