144 computer-programmer-"https:"-"Inserm"-"https:"-"https:"-"https:"-"https:"-"Dr"-"Dr" positions in Switzerland
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have enabled unprecedented control over light-matter interactions, catalyzing breakthroughs in imaging, nonlinear optics, and photonic computing. We leverage these developments to advance the field
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100%, Zurich, fixed-term Human–Computer Interaction in Architecture and Digital Fabrication This fully funded, full-time PhD position spans four years and is embedded within the interdisciplinary
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80%-100%, Lugano, 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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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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10%-30%, Zurich, fixed-term The Chair of Structural Mechanics and Monitoring (SMM) at BAUG, ETH Zürich conducts research at the intersection of structural dynamics, sensing technologies, and intelligent materials. Our work explores new paradigms for monitoring infrastructure through...
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the power of both classical and quantum computing resources? How can we exploit or take inspiration from quantum physics to develop cutting-edge machine learning? Your work will encompass a diverse array of
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computer scientists, experimentalists and clinicians. You will be involved in cross-disciplinary collaborations and have training opportunities to further develop and grow your scientific interests. Access
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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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, 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 Mobile Robotics Lab (MRL) at ETH Zürich pushes the limits of robot intelligence. We want to build robots that can safely explore, navigate, and interact with their environments—specifically, how learned perception can drive action in a closed loop and how we can leverage foundation models...