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coaching. Your Qualifications An outstanding Master’s degree in Computer Science, Computational Linguistics, Data Science, or a related field. Strong theoretical knowledge and hands-on experience in
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and electrochemical devices, by employing advanced experimental and theoretical methods in an interdisciplinary approach bridging synthetic chemistry, condensed-matter physics, and materials science
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Your Job: You will develop instrumental analytical and theoretical methods to determine the origin of hydrogen and, in particular hydrogen carriers (including methanol, LOHC systems, formic acid) by
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devices, by employing advanced experimental and theoretical methods in an interdisciplinary approach bridging synthetic chemistry, condensed-matter physics, and materials science. Our research encompasses
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or diploma in physics, biophysics, applied mathematics, chemistry, or a relevant engineering discipline Strong motivation to study motility of microswimmers and develop computational models Good programming
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. The research program may also involve a numerical simulation component. Your tasks #analyzing measurements of ocean turbulence using autonomous glider vehicles #use and develop machine learning methods
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, their achievements and productivity to the success of the whole institution. At the Faculty of Mathematics, Institute of Scientific Computing, within the Dresden Center for Computational Materials Science (DCMS
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Technology, Mechatronics, Robotics, Systems Engineering, Applied Mathematics, Technomathematics, Computer Science, Engineering Informatics, Theoretical Computer Science, Physics Description Description
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"Munich Center for Quantum Science and Technology". Candidates for the PhD position are expected to have a master/diploma (or equivalent) degree in one of the following fields: theoretical particle physics
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computational and theoretical physics/chemistry. Capability of team work is essential. Skills in materials chemistry, magnetism, theoretical chemistry, high-performance computing, and programming are beneficial