217 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"U.S"-"UCL" positions at ETH Zurich
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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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100%, Zurich, fixed-term The upcoming Molecular Engineering Thermodynamics (MET) Group at ETH Zürich is looking for a doctoral student to develop and improve computational tools for the molecular
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100%, Zurich, fixed-term The Programming, Education, and Computer-Human Interaction group in the Department of Computer Science is recruiting one research intern to work broadly in the area of
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day. You will collaborate mainly with your colleagues from Facility Management, internal IT Services, Events and Communications, and the Human Resources team. In this function, your responsibilities
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80%-100%, Zurich, 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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datasets The position is limited to two years. Profile University degree (MSc or PhD) in data science, computer science, physics or a related field Experience in training and validating large-scale deep
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Science at the ETH Zurich Institute of Environmental Engineering, with expertise in water chemistry assessments in forested ecosystems. The Silviculture group is part of the Chair of Forest Resources
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scientometrics Profile Background Master’s degree ideally in information science, library science, data science, computer science, or a comparable field; a PhD is an advantage Regardless of academic background
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dynamical systems, and machine learning, with applications to synthetic biology and biomolecular circuit design. Our research develops mathematical and computational frameworks for understanding and