373 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData" positions in Switzerland
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the international team of the Ultrafast Spectroscopy and Attosecond Science group. Gain access to a wide range of experimental and analytical facilities, including high-performance computing resources, and
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atmospheric/environmental sciences, physics, computational science, engineering or a related field A background in numerical modelling, statistical data analysis and/or programming skills is highly encouraged
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agreement. We develop computational methods to accelerate materials discovery through defect engineering, with a focus on extreme environments. Application areas include fusion reactors, hydrogen systems, and
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We are looking for a Technical Expert to join our focused ultrasound technology team for delivering drugs non-invasively to the brain using customized drug carriers. This position will support our
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sciences. The working place will be Dübendorf / Zurich. Your tasks Developing new materials concepts in the space domain with partners from Empa internal and external partners. Developing characterization
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website . For any further questions, please contact jonas.wuest@wysszurich.ch About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned
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psychologists, neuroscientists, computer scientists, clinicians, and data scientists across the Singapore-ETH Centre (SEC), the National University of Singapore (NUS), and Nanyang Technological University (NTU
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the power of both classical and quantum computing resources? How can we exploit or take inspiration from quantum physics to develop cutting-edge machine learning? Your work will encompass a diverse array of
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of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over
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, or computer science. For Project A, experience with natural language processing and computational methods is advantageous, as well as knowledge of a behavioral science; for Project B, beyond experience with behavioral