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interdisciplinary teams. Preferred Knowledge, Skills, and Abilities: Experience scaling machine learning training and/or inference on multi-node HPC systems. History of implementing, adapting, or optimizing machine
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: 1 Year Fixed Term Appointment Start Date: Immediate Group or Departmental Website: http://stanfordsumit.com (link is external) https://www.pedrad.radiologyweb.su.domains/ (link is external) How
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The Energy Systems Analysis Group (https://acee.princeton.edu/research/energy-systems-analysis-group/) at the Andlinger Center for Energy and the Environment invites applications for postdoctoral
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of the experimental approach will include: Bayesian reconstruction of events on billion-year timescales, determination of optimal embeddings and encodings for protein structures, multiple structural alignments
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systems architecting AI/ML-driven clinical and operational decision support Digital health and learning health systems Healthcare operations, resource allocation, and workflow optimization Network, graph
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this position can be directed to yahe223@uky.edu . Website http://gluck.ca.uky.edu/ Skills / Knowledge / Abilities The successful candidate will: · Design, implement, and manage independent and
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systems • Healthcare operations, resource allocation, and workflow optimization • Network, graph, and agent-based modeling for care delivery • Health equity, patient access, and system resilience • Multi
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 4 hours ago
innovative ideas and perspectives, foster a stimulating research environment and advance knowledge within their fields. Postdocs are crucial members of our scientific research workforce, contributors to our
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this position can be directed to yahe223@uky.edu . Website http://gluck.ca.uky.edu/ Skills / Knowledge / Abilities The successful candidate will: · Design, implement, and manage independent and
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development spanning areas such as optimization, Fourier analysis, numerical linear algebra, statistics, machine learning, and high-performance computing for one or more of the following: (1) reconstruction