453 programming-"Multiple"-"U"-"Prof"-"O.P"-"UCL"-"The-Francis-Crick-Institute" Postdoctoral positions in United States
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The Los Angeles Cancer Surveillance Program (LACSP), the State-designated agent to collect population-based cancer incidence data in Los Angeles County, in the department of Population and Public
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/faculty mentor, to develop and perform synthesis of multiple small molecule platforms in collaboration with principal investigators of KUMC, KUCC and from other research institutes and companies. Provide
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multiple study sites and assist the PI in supervising undergraduate and doctoral researchers. Participate in weekly research team meetings and coordinate project activities. Support program implementation in
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of the Postdoctoral Research Associate includes contributing to multiple projects including resilience-aware scheduling, deep learning workload job scheduling, and storage system performance tuning. The candidate will
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Outlook, Word, Excel, PowerPoint). Ability to work independently, but collaboratively on multiple projects. Ability to work strategically with oversight from a Program Manager or senior staff. Required
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Medical center seeks applicants for a postdoctoral research position. The lab’s research program focuses on understanding the neural signaling behavioral and cognitive processes, with a long term goal of
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Research Associate to develop and apply scalable artificial intelligence (AI) / deep learning (DL) methods to advance multi-scale coupled physics simulations in support of the missions and programs of the US
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. Our work focuses on three sets of questions: how are cell types and their functions encoded in the genome; how does organ-level physiology emerge from the contributions of multiple specialized cell
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The Medium Energy Physics (MEP) group at Argonne National Laboratory invites applications for multiple experimental postdoctoral researcher positions. Depending on your background, your portfolio
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of the Postdoctoral Research Associate includes contributing to multiple projects including resilience-aware scheduling, deep learning workload job scheduling, and storage system performance tuning. The candidate will