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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 25 days ago
for extension based on mutual interest. We are looking for individuals with a strong theoretical and practical background in large language models, machine learning, and natural language processing, combined with
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leading peer-reviewed journals and conferences. Researching and developing parallel/scalable uncertainty visualization algorithms using HPC resources. Collaboration with domain scientists for demonstration
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Station. In parallel, we pursue R&D for future gamma-ray missions and play an active role in ESA proposals, including new-ASTROGAM, the envisioned successor to the Fermi-LAT satellite, and other compact
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on the Exascale computer JUPITER. Your work will include: Developing, implementing, and refining ML techniques suited for the largest scale Parallelizing model training and optimizing the execution User support in
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compliance with Work, Safety and Health Regulations. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. The employee is to communicate with any relevant
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the collective behavior of complex systems, understanding how micro- level interactions drive macro-level evolution. Practical experience with high-performance computing (HPC) and parallel processing to enable
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the Apollo application development and computing environment. We have coordinated several EU projects on distributed and parallel systems including the edutain@grid, AllScale and the ENTICE project. We
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to the OMS context, integrating AI agents, and implementing a vehicle mobility interface. The platform will be tested, validated, and continually refined to ensure both functionality and security. In parallel
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, parallel storage systems and scientific data management. Recent research project details and outcomes can be found in computer systems conference proceedings, such as HPCA, FAST, SC, DSN, HPDC, IPDPS, and
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researchers and with members of the 3D Biology research programme at the Radboud university medical center. You will also collaborate closely with scientists at HUB Organoids who are running parallel programmes