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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
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Collaborate with stakeholders in professional football Develop your own research agenda and profile Take one for the team Profile Doctoral degree in computer science, mathematics, statistics, or similar
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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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Master’s degree in Biomechanics, Biomedical Engineering, Computer Vision, Computer Science, Neuroscience, Health Science, Biomedicine, Physio- or Occupational Therapy, or a related field. Understanding of
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and Climate Science at ETH Zurich and the WSL-Institute for Snow and Avalanche Research SLF and will be part of the NCCR CLIM+ programme which is funded by the Swiss National Science Foundation (SNSF
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., at the intersection of psychology, technology, and human–computer interaction). We welcome candidates with a strong interest in fundamental research and, ideally, prior experience in VR research. The project duration
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The Swiss National Supercomputing Centre (CSCS) develops and operates a high-performance computing and data research infrastructure that supports world-class science in Switzerland. Its user
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physics, quantum engineering, electrical engineering, or closely related discipline You should have a strong motivation to build a quantum computer from scratch Excellent spoken and written English
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sciences. NCCR Genesis does not aim to provide answers in all fields, but to drive innovative research and achieve decisive progress. Further details on NCCR Genesis are available on its website https://nccr