374 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"U.S"-"UCL" positions in Switzerland
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of research grants and writing of scientific publications Supervision of students and interns Collaborate closely with chemists, materials scientists, and electrochemists. Your profile PhD in chemistry (or a
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100%, Zurich, fixed-term The Institute of Geophysics at the Department of Earth and Planetary Sciences of ETH Zurich invites applications from ambitious and talented candidates for a fully funded 4
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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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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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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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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
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researchers across architecture, robotics, computer science, and engineering An engaged international community of researchers and educators Professional development and networking opportunities through
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100%, Basel, fixed-term The Computational Biology (CoBi) group, led by Prof. Dagmar Iber, develops data-driven, mechanistic models of biological systems using advanced imaging and computational
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Digital Twins for Human Learning. Project background In cognitive science, it is common practice to use cognitive models to understand human thought processes – including human learning. Large language