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be carried out in collaboration with groups in theoretical chemistry, computer science and applied mathematics. Job description As a PhD student in our growing team, you will perform quantum-chemical
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range of research groups and institutes across different faculties. The position is offered in the Department of Mathematics and Computer Science. About IBM Research - Zurich: The IBM Research Laboratory
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in machine learning, seismic monitoring and earthquake seismology. The ideal candidate should: A Master’s degree in Earth Sciences / Physics / Mathematics / Computer Sciences or a related discipline is
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Earth Sciences / Physics / Mathematics / Computer Sciences or a related discipline is required. Applicants must have obtained their Master's degree by September 2024 A strong foundation in analyzing large
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living. Empa is a research institution of the ETH Domain. This position is a Doctoral Candidate Position...
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degree in Economics, Finance, Mathematics, Engineering, or a related field. For the PostDoc position you hold a PhD in Economics or Finance or a closely related field. You have good knowledge in
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for a doctorate at ETH Zurich Previous experience in solid-state NMR is a bonus but not a requirement Be interested in the intersection between Chemistry, Physics, and Mathematics Be interested in theory
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a bonus but not a requirement Be interested in the intersection between Chemistry, Physics, and Mathematics Be interested in theory, numerical simulations and experimental implementation of pulse
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13 Apr 2024 Job Information Organisation/Company Empa Research Field Biological sciences » Biology Biological sciences » Other Chemistry » Physical chemistry Chemistry » Other Mathematics
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of Prof. Isabelle Marthot-Santaniello (Department of Ancient Civilizations) and of Prof. Ivan Dokmanić (Department of Mathematics and Computer Science ) with support from the Center for Data Analytics (CeDA