358 computer-science-intern-"https:"-"https:"-"https:"-"https:" positions in Switzerland
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physics simulation, rendering, and neural graphics. Profile Bachelor’s, Master’s, or PhD in Computer Science, Computer Graphics, or a related field. Strong proficiency in C++ and Python, with a track record
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We offer you ■ You will have access to state-of-the-art research equipment in RNA sequencing, cell biology, computational resources, and microscopy. ■ You will work in a dynamic and highly
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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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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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Infectious Diseases unit. We are seeking a dynamic and collaborative academic leader with substantial clinical experience and research expertise in pediatric infectious diseases, demonstrated by international
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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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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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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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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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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