207 computer-science-"https:"-"https:"-"https:"-"https:"-"UCL" positions at ETH Zurich in Switzerland
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the lifespan, including healthy aging. The successful candidate will develop an innovative and mechanistic research program in nutrition biology with translational relevance, leveraging ETH Zurich’s
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of computational and applied mathematics, including but not limited to data-driven numerical modeling, scientific machine learning and AI for science and engineering, computational uncertainty quantification
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The Department of Mechanical and Process Engineering (D-MAVT; www.mavt.ethz.ch) at ETH Zurich invites applications for the above-mentioned position at the tenure-track assistant professor
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* ETH Zurich – Where the Future Begins! As one of the leading international universities for technology and the natural sciences, ETH Zurich is well-known for its excellent education, ground
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100%, Zurich, fixed-term Prof. Dr. Sereina Riniker's group for Computational Chemistry at the Institute of Molecular Physical Science is interested in the development of methodology for classical
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Science and Engineering of ETH Zurich (located in Basel). We work at the interface of protein engineering, molecular biophysics, and synthetic biology, developing new experimental and computational
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qualifications with a university degree (Master or equivalent) in physics, engineering or computer science Proficiency in computer vision and machine learning with Python Knowledge of X-ray physics and laboratory
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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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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