78 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "Keele University" uni jobs at Technical University of Munich
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: The successful applicant must have the following: • PhD degree in natural sciences, electrical engineering, physics, optics, medical technology, biomedical computing, or related fields • Experience in
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. The role involves conducting wet lab experiments to generate data essential for modeling the kinetics of MZ B cells. This is a collaborative project with renowned international experts, including Dr. Dr
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13.02.2026, Academic staff The Imperial College London – Technical University Munich Joint Academy of Doctoral Studies (JADS) is a collaborative doctoral program. Within this program we offer a PhD
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to maximize 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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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 climate crisis and
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Learning algorithms for EDA in terms of Computational Complexity, Performance Scores, etc. To learn more about our previous work, please check out our website ( www.cda.cit.tum.de/research/machine_learning
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technologies and develop algorithms and software tools dedicated to accelerating research on multiple levels. We are working at the intersection of computer science, physics, and material science to push the
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and scale aircraft is favoured. You should be interested in cooperation with other groups, bring good communication and writing skills in English to publish scientific papers. Due to security
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Universität München Munich Institute of Integrated Materials, Energy, and Process Engineering Prof. Dr. Sonja Berensmeier Lichtenbergstr. 4a, 85748 Garching application@mep.tum.de www.mep.tum.de www.tum.de
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automate crucial design steps. In addition, we are developing simulators (on various abstraction levels; using, e.g., Computational Fluid Dynamics) which enables us to validate designs of microfluidic