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University of North Carolina at Chapel Hill | North Wilkesboro, North Carolina | United States | about 2 months ago
machine learning approaches to identify disease-associated transcriptomic signatures relevant to Crohn’s Disease and Ulcerative Colitis. Work will be performed in Python and R on HPC infrastructure, in
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 1 month ago
from Designated Countries will not be accepted at this time, unless they are Legal Permanent Residents of the United States. A complete list of Designated Countries can be found at: https
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environment Learn more about CQT at https://www.cqt.sg/ Job Description The CQT S14 team is looking for candidates with strong background in Software Engineering, Computational Physics or Computer
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and students, it offers a friendly and international work environment Learn more about CQT at https://www.cqt.sg/ Job Description The CQT S14 team is looking for candidates with strong background in
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Posting Number R260058 Posting Link https://www.ubjobs.buffalo.edu/postings/61964 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89
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with ISSM’s modular components. The agent will operate at multiple levels. Infrastructure assistance: automating cross-platform installation, dependency management, compilation, and HPC/cloud
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collaborators. We believe that cooperation and collegiality are essential elements for research successes. You can find more information about the team and our work here: https://www.bric.ku.dk/research
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Computer ( HPC ) cluster and access to GIS software. The EOS Department has facilities and instrumentation to support a range of engaged learning and field and laboratory activities, including
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instruments to HPC and multi petabyte storage to office computing and printers. MAX IV is looking for a positive and service minded person to join our IT Infrastructure group in the Helpdesk function with
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-quality data for training, which HYBRID will tackle specifically for renewable energy applications. The grant holder will develop Artificial Intelligence models (Surrogate Models) in HPC. Design and