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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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starting date and duration are flexible. Project background High-quality event and tracking data are changing the way association football (soccer) is analyzed and presented. We aspire to move
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collaborative development environments (e.g. GitHub/GitLab), version control, and maintaining well-documented, reusable repositories. Working experience with high-performance computing environments. A strong
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equations and conservation laws. Our approach involves the close collaboration of experts from A*STAR IAIC, who bring extensive experience in high-performance computing and AI-driven scientific research
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software, and fault-management functions. Integrate flight software with onboard computers, sensors, actuators, payload electronics, communication interfaces, ground systems, and externally supplied
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The project is based on previous and ongoing work of the group demonstrating benefits of ramping down high-performance clinical MR systems to lower static magnetic field strengths. In conjunction with advanced
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efficient inference. Experience with GPU computing and high-performance or distributed computing environments. Exposure to planning, scheduling, workflow engines, or reasoning systems, and to scientific
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the design of new experiments. The calculations will be performed using ETH Zurich’s high-performance computing infrastructure. In addition to research, the doctoral candidate will contribute to general
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models or working with Earth-system feedbacks High-performance computing and large-scale numerical simulations Experience working with interdisciplinary datasets and modelling frameworks Candidates with a
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many more design challenges than single-element antennas. Testing these high-performance antennas and antenna arrays also requires knowledge on automated test setup and high-end electronic measurement