2,352 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "Computer Vision Center" Postdoctoral positions in United States
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product design & development, investor strategies, financial projections, pricing strategy, pitch development, and more. For more information about NM LEEP Program, please visit https://nmleep.com
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physics (HEP) detectors, neuromorphic computing, FPGA/ASIC design, and machine learning for edge processing. The successful candidate will work with a multi-institutional and multi-disciplinary team
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 20-Mar-26 Location: Pittsburgh, PA Categories: Academic/Faculty Internal Number: 183453 The Human-Computer
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Group or Departmental Website: https://plevritislab.stanford.edu/ (link is external) https://ccsb.stanford.edu/ (link is external) How to Submit Application Materials: Go to: https
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, and paid time off for bereavement, jury duty, military service, and parental leave is available after 12 months of employment. A retirement program with a generous employer contribution and additional
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available after six months of employment, and paid time off for bereavement, jury duty, military service, and parental leave is available after 12 months of employment. A retirement program with a generous
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 7 hours ago
Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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. Experiments with Argonne involvement include, but are not limited to, ATLAS at CERN, the South Pole Telescope, and the Simons Observatory. The candidate is also expected to work closely with computational
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https://pubs.acs.org/doi/full/10.1021/acssuschemeng.5c0419 The successful candidate will be able to: Work safely and independently in a laboratory setting Learn new techniques and protocols Plan and
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NHANES and related datasets to identify patterns linked to oral health outcomes and health disparities. Apply and develop bioinformatic pipelines, statistical models, and computational tools to assess