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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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preparation, data visualization, and project reporting, and stay current with emerging single-cell and spatial genomics methods. Profile PhD degree in bioinformatics, computational biology, computational
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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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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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., 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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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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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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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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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