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Field
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molecular/condensed matter physics) and the developments on new tools in perturbation theory and in computational methods (gradient flow), including quantum computing. We look for ambitious candidates with a
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career scientist with PhD(or equivalent) in Plant Biology, Biochemistry, Molecular Biology, Analytical Chemistry, or related field interested in integrated plant metabolomics and proteomics. Hands
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: Masters and subsequent PhD in Physics, Chemistry, Material Science or related disciplines Experience in neutron spectroscopy, e.g. INS, QENS, NSE Good knowledge of the structural characterization of matter
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(MPPT). Your profile: We are looking for motivated individuals (m/f/div) with a Ph.D. degree in Electrical Engineering, Materials Science, Physics, or a related field. Candidates should have a proven
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. The position is based within the research group of Deniz Kus, Professor for Representation Theory at the Department of Mathematics, part of the TUM School of Computation, Information and Technology (CIT
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, Statistical Physics, Genome Annotation, and/or related fields Practical experience with High Performance Computing Systems as well as parallel/distributed programming Very good command of written and spoken
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energy efficiency while keeping the grid reliable and secure. Our research method is engineering-oriented, prototype-driven, and highly interdisciplinary. Our typical research process includes
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based architecture with 2D-connectivity Migration to industrially fabricated devices Your Profile: Master and PhD in physics or a related field In-depth experience with quantum control experiments
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. Your qualifications An excellent PhD degree either in Computer Science, Physics, Mathematics or related fields, ideally with a background in quantum theory, quantum computing or quantum machine learning
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mathematics, computer science, information technology, electrical engineering, physics, mechanical engineering, or a comparable qualification Sound knowledge of mathematics and physics, especially in the fields