208 Computer-Science-"https:"-"https:"-"Washington-University-in-St" positions at ETH Zurich
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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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platform. Profile You are an ETH student enrolled in Computer Science, Electrical Engineering, Power Engineering, or related fields. You are passionate about data engineering, systems development, and energy
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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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Candidates should have a PhD in Electrical Engineering, or a closely related field. A strong practical embedded hardware background is essential, including experience in several of the following
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recruiters and not by artificial intelligence. For recruitment services the GTC of ETH Zurich apply. About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and
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research, providing training and directly supporting those engaged in peace practice and conflict transformation processes. We are seeking someone to work as a Program Officer in our “Mediation Support
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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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of innovative AI methods and saving millions of dollars in compute time while accelerating scientific productivity. To enhance the efficacy of AI for Science models, it is imperative to integrate simulations
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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