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following areas: Mathematical Analysis/ Numerical Analysis/ Theoretical Machine Learning Please note: Applications from candidates with degrees in other disciplines (e.g., Computer Science, Engineering) will
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efficiency while keeping the grid reliable and secure. Our research method is engineering-oriented, prototype-driven, and highly interdisciplinary. Our typical research process includes the evaluation
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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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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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. Your qualifications ▪ Above-average university degree in electrical engineering, communications engineering, mathematics, physics (or similar) with thorough knowledge in quantum information and
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” at Technical University Munich in the Department of Physics. The position is part of the Focus Group Molecular and Interfacial Engineering of Organic Nanosystems at the Institute for Advanced Study (IAS) headed
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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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for inverse problems or machine learning more broadly. We are looking for candidates with strong mathematical skills and interests. A requirement for the position is a master’s degree in electrical engineering
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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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companies from all over the world, especially the USA, the UK, and Germany. Your Profile: - Ph.D. in chemistry, material science, engineering, physics, or a closely-related field - Knowledge in material