374 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"CUBO"-"CUBO" positions in Switzerland
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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
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will be enrolled in the electrical engineering doctoral program at ETH Zurich. The project is embedded in the National Competence Center for Research Muoniverse and funded by the Swiss National Science
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reproducible workflows Coordinate development priorities and contribute to reporting and planning within the Forest Studio team Collaborate with interdisciplinary teams and contribute to international research
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for the renewable energy sector via the M2A European Training Network (ETN), funded by the European Commission’s Horizon 2020 Marie Skłodowska-Curie programme. Project background M2A puts forward a robust methodology
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well as metabolic, neurodegenerative, autoimmune, and infectious diseases. Job description Postdoctoral projects will combine catalyst engineering, computational simulation, bioelectrode device fabrication, and
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well as metabolic, neurodegenerative, autoimmune, and infectious diseases. Job description PhD projects will combine catalyst engineering, computational simulation, bioelectrode device fabrication, and electrical
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80%-100%, Lugano, fixed-term The Swiss National Supercomputing Centre (CSCS) develops and operates a high-performance computing and data research infrastructure that supports world-class science in
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100%, Zurich, fixed-term The Clinical Genomics team led by Dr. André Kahles at the Biomedical Informatics Lab (BMI Lab), headed by Prof. Gunnar Rätsch, at ETH Zurich, is seeking a highly motivated
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researcher to advance our understanding of magmatic and volcanic systems. Job description Develop and lead an independent research program in magmatic petrology, volcanology, and/or geochronology. Publish
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, with deep experience in appearance reconstruction and material modeling. Required Qualifications MSc in Computer Science or related field Strong background in computer vision and/or computer graphics