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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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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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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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. sciCORE provides advanced infrastructure and services for more than 2,000 researchers, including high-performance computing, scientific data processing and storage, secure research environments, consulting
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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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languages). • Experience with Linux environments, workflow management systems, containerization technologies and cloud or high-performance computing infrastructures. • Familiarity with genomic data
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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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, immunohistochemistry, and fluorescence microscopy Contribute to the day-to-day operation of the laboratory as needed Profile Diploma from a laboratory technician program or equivalent qualification Accreditation to work
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teaching in key computing areas, including High-Performance Computing (HPC), Artificial Intelligence and Machine Learning (AI/ML), scientific computing, trusted research environments, storage, and data