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talented individuals passionate about AI, Human-Computer Interaction, Eye-Tracking, and their responsible applications. Ideal candidates will have: • An M.Sc. degree (or equivalent) in Computer Science, Game
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. Knowledge of high-performance computing and its applications across the computing continuum. An excellent record of productive and creative research as demonstrated by publications in top peer-reviewed
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access to state-of-the-art numerical models and high-performance computing systems at Princeton and in NOAA, working alongside GFDL model developers and software engineers to advance quality assurance and
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Institute, a pioneering biomedical research institute in London where our wet lab is located. We are also part of Cancer Research UK City of London Centre, which sponsor our high-performance computer cluster
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. Applicants with experience in the following areas are encouraged to apply: Experimental condensed matter physics, cosmology and astrophysics, particle astrophysics and dark matter, high energy, atomic, pulsar
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experimental medicine studies focusing on energy homeostasis and glucose/lipid homeostasis Data Collection & Analysis: Perform in vivo metabolic testing, blood sample and tissue analyses, and molecular biology
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: 268193747 Position: Postdoctoral Research Associate Theoretical High-Energy Physics Description: "Post-doctoral Associate in Theoretical High-Energy Physics' The Physics Department at Princeton University
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areas of cybersecurity, applied cryptography, and/or hardware security. Experience with Linux and high-performance computing environments. Excellent programming skills in modern programming languages
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consulting and data management services to UM6P researchers and their collaborators. UM6P has state of the art NGS sequencers and mass spectrometry and the largest HPC (High Performance Computing) cluster in
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engineering, and have a strong background in numerical analysis and scientific computing. Required qualifications include basic knowledge of numerical methods for PDEs, expertise in High Performance Computing