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Field
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Ability to code in a programming language to solve computational problems Awareness of computational infrastructure and its upkeep Ability to work on multiple projects in parallel and set priorities
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research, and building bridges between our work and the communities we serve. The Massive Data Institute (MDI) at Georgetown’s McCourt School of Public Policy harnesses modern data and computing power
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IOCB Prague / Institute of Organic Chemistry and Biochemistry, Czech Academy of Sciences | Czech | 6 days ago
for cryo-EM data processing and analysis at the local parallel computing cluster (400 CPU nodes, 87 GPU nodes, ~3 PBs of storage space and 1 PB of scratches). The successful candidate will be a key and
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29 Aug 2025 Job Information Organisation/Company CNRS Department Centre de Recherche En Acquisition et Traitement de l'Image pour la Santé Research Field Engineering Computer science Mathematics
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, proactive gift planning program that is designed to maximize fundraising potential from prospects and provide stewardship to donors. The Sr Director will be responsible for the execution of this plan
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technical and administrative support activities. This will include activities such as provision of daily testing procedures/protocols in lab, and parallel administrative functions to ensure smooth operation
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Application Deadline 31 Oct 2025 - 12:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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including knowledge of PyTorch, Tensorflow, Pandas, Scikit-learn and/or Numpy. Knowledge of GPU-based computing, including multi-gpu/multi-node parallelization techniques. Fluency in spoken and written
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principles, techniques and systems. Founded in 1965, the Stanford Computer Science (CS) Department continues to lead the world in computer science research and education. Throughout the past four decades
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, computer graphics, computer science education, computer vision, cybersecurity, data mining, high-performance computing, human factors in computing, Internet of Things, parallel and distributed computing