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and waste-free chemical industry for a sustainable society. Jointly led by ETH Zurich and EPFL since 2020, the research program is funded by the Swiss National Science Foundation (SNSF) and currently
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activities (incl. Future Food Initiative, Smart Sustainable Farming Program, Thematic Spotlights etc.). Co-development of new inter- and transdisciplinary research programs and activities either based
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Applicants should have a strong interest in doing basic research in areas such as: Bio-inspired /Bio-hybrid Robotics, Biomechanics, Causal Inference, Computational Biology, Computer Graphics
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Master’s degree in Computer Science, AI, Machine Learning, Mathematics, Electrical Engineering, or a closely related field; or Master’s degree in Medicine (MD) with strong Python skills and some ML
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into sustainable, user-friendly products? Are you eager to shape the future of biomedical informatics in the Zurich area? If this sounds like you, we invite you to join NEXUS Personalized Health, ETH Zurich’s
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80%-100%, Zurich, fixed-term We are seeking a talented Research Engineer with strong expertise in Computer Graphics, physically-based simulation, and high-performance implementation. In this role
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, ACHIEVE consortium The primary focus of this role is to serve as the Knowledge and Technology Transfer (KTT) Expert within the ACHIEVE consortium as part of the SWEET funding programme of the Swiss Federal
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The NOMIS Foundation–ETH Fellowship Programme supports postdoctoral researchers at ETH Zurich within the Centre for Origin and Prevalence of Life (COPL). The programme is intended to foster
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environment. The Postdoctoral Fellowship Program, made possible via our Strategic Partnership with Halter Group AG , funds a two-year postdoc position annually over 5 years. The goal is to advance computational
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, optimized for high-performance computing (HPC) environments Classifying ice crystal habits using Convolutional Neural Networks (CNNs) Providing intuitive graphical interfaces for user interaction and data