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Princeton University, Program in Applied and Computational Mathematics Position ID: 639 -PDRA [#26786, PACM2026] Position Title: Position Type: Postdoctoral Position Location: Princeton, New Jersey
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Department Research Support | Guan Academic Group | Applied Biology Program | Faculty of Land and Food Systems Compensation Range $4,333.86 - $5,155.61 CAD Monthly Posting End Date August 13, 2025 Note
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(MRC CMM) seeks an experienced research associate to join a recently funded 5-year programme of antifungal drug discovery at the MRC Centre for Medical Mycology. This exciting new programme connects MRC
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) programme . The above full-time post is available immediately within the Department of Health and Community Sciences, University of Exeter Medical School. This is a fixed-term position until March 2026. About
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We are seeking to appoint a Research Assistant for the pre-erythrocytic malaria vaccine development programme led by Professor Adrian Hill. You will be responsible for performing immunological
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to make that future possible. We’ve long touted our success in developing the technologies that took on acid rain in the 1970s and mercury in the early 2000s. Program Goals The NETL Postdoctoral Research
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 44 minutes 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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on a new project called TRUSTLINE, which is part of the Learning Introspective Control (LINC) DARPA Program. The project aims to develop machine learning (ML)--based introspection and monitoring
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The Postdoctoral Research Associate in Pancreatic Cancer Biology will play a central role in advancing a high-impact translational research program within the Department of Surgery at the University of Miami, Miller
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TRUSTLINE, which is part of the Learning Introspective Control (LINC) DARPA Program. The project aims to develop machine learning (ML)--based introspection and monitoring technologies that enable robotic