398 Computer-Science-"https:"-"https:"-"https:"-"IDAEA-CSIC" positions in Switzerland
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maternity cover. The Master of Advanced Studies ETH in Management, Technology, and Economics is a long-established continuing education programme at ETH Zurich, with a strong history of management education
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, electrical engineering and computer science to design highly efficient and sensitive imaging and inference approaches to help guide diagnosis and treatment in cardiovascular patients. Project background
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of the behavioral sciences to understand how environments and behavior change interventions can be designed to systematically promote pro-environmental behaviors. The PhD project will contribute to this research
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dedicated researcher with a PhD in mathematics, electrical or mechanical engineering, computer science or a related field, and a strong methodological background in machine learning. The ideal candidate has
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100%, Zurich, fixed-term The Atmospheric Chemistry group at the Institute for Atmospheric and Climate Science (IAC) – ETH Zurich invites applications for a 4-year PhD position on “Investigating
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modeling, laboratory experiments, and theoretical analyses, we seek to link microscopic processes with the macroscopic behavior of both engineering and natural systems and develop predictive tools
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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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ensure meticulous, high-quality deliverables Profile Master's degree in Computer Science, Electrical Engineering, or a related field, from an accredited institution (or equivalent qualification) 2 years
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present your work internationally. You are the ideal candidate if You hold a PhD in mathematics, computer science or a related field You have a strong background in formal verification with Lean You have
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Computer Science, Electrical Engineering, Robotics, or related field You bring: A strong foundation in machine learning, including classification and regression, model evaluation, representation learning, and