11 computational-physics Postdoctoral research jobs at Technical University of Munich
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science & physics, biomaterials, nanotechnology, electrical engineering, and neurobiology. To learn more about our group’s recent work in this field, please check out some of our recent publications, here
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to contribute to groundbreaking work in our research area. About the Program: We are implementing a program that creates an additional two year postdoctoral position exclusively for female researchers working in
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26.02.2025, Wissenschaftliches Personal We are looking for a postdoctoral researcher (f/m/d) with a PhD in Simulation Technology, Computer Science, Mechanical Engineering, or a related field. About
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process. As part of your application for a position at the Technical University of Munich (TUM), you will submit personal data. Please note our data protection information in accordance with Art. 13
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to obtain research funding Required Skills & Experience A Ph.D. with excellent academic results in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, Computer Science, Physics, or a
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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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24.02.2022, Wissenschaftliches Personal The Munich Quantum Valley aims at developing a full quantum computing stack, from the application level to the physical quantum hardware. Within
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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
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, computer science, mathematics, physics, or a related field with an outstanding academic record. Interest in mathematical signal processing, optimization, and/or machine learning is important. Since
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communication system are modeled using information theory. We wish to investigate how interleaving can reduce the overhead and computational load due to coding coefficients required in classical linear random