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of Quantum Materials RWTH Aachen University – Faculty of Mathematics, Computer Science and Natural Sciences The place of work will be Jülich. We are seeking an outstanding individual with the ability to lead a
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, ranging from life sciences to engineering. For more information, visit our webpage www.epc.ed.tum.de/en/mfm. Your profile - M.Sc. degree in informatics, physics, chemistry, or engineering (candidates who
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studies with above-average grades in Chemical Engineering, Energy- or Process Systems Engineering, Mechanical Engineering, Computational Engineering Sciences, Simulation Sciences, or similar have gained
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collaboration opportunities, especially with professorships at the Center for Digital Transformation (CDT) and the Heilbronn Data Science Center (HDSC). The school is currently listed as one of the strongest
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Physics, Chemistry, Applied Mathematics, or related fields. Desirable: Fluent English, spoken and written Strong background in computational Physics and Statistical Physics Previous work experience in
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Bachelor (advanced) or Master program with a focus on political science, economics, data science, statistics, or a related discipline; Excellent knowledge of the English language (the working language of
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programme of computer science, mathematics, physics, electrical engineering, computational linguistics, or similar with good grades PyTorch skills: experience in training machine learning models with one
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, materials technology, electrical engineering, chemistry, physics or a comparable degree programme Technical issues spark your interest, and you enjoy working carefully, independently and in a structured
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: You are involved in experimental work in the laboratory and are interested in technology transfer issues in cooperation with partner groups, possibly industry. You have a Master's degree or doctorate in
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Announcement for fields of study such as: Automation technology, computer science, cybernetics, mechanical engineering, mechatronics, control engineering, technical computer science, technology