797 computational-physics "https:" "https:" "https:" Postdoctoral positions in United States
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-of-the-art facilities for imaging and fabrication. A highly collaborative environment where chemistry, biology, physics, and engineering are not siloed. Mentorship focused on academic publication, proposal
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 18 days ago
have a PhD, DrPH (or equivalent) in statistics, biostatistics, computational biology, or a related quantitative field. Required Qualifications, Competencies, and Experience Background in causal inference
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Annual Basis: 9 Month Review of Applications Begins March 16, 2026; position open until filled Special Instructions to Applicants Apply online at https://www.mathjobs.org/jobs/list/28124 (link opens in
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conditions of the Department and University. The position carries a teaching load of four to five (4-5) quarter courses per year and is supported by a formal faculty mentoring program. Applicants should have
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | about 2 months 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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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 2 months 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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Appointment Term: July/August 1, 2026 to June/July, 2027 (renewable) Appointment Start Date: August 1, 2026 (flexible) Group or Departmental Website: https://pedl.sites.stanford.edu/ (link is external) How
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The Cosmological Physics and Advanced Computing (CPAC) group at Argonne National Laboratory invites applications for a postdoctoral researcher to work closely with Dr. Lindsey Bleem
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Remote Sensing; Machine Learning Models for Predicting Wildfire Spread; Wildfire Risk Assessment Through Multi-Modal Data Integration; Automated Vegetation and Fuel Load Mapping Using Computer Vision; AI
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eligible for, including health insurance, retirement plans, and paid time off. To access this tool and learn more about the total value of your benefits, please click on the following link: https