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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 2 hours ago
for the postdoctoral position based on official transcripts and other documentation as required. If the candidate(s) will teach during their appointment, then additional teaching credentials are required. UNC Wilmington
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computing, high-performance computing (HPC), or machine learning (ML) Interest in Standard Model measurements and/or searches for new phenomena Application Review Review of applications will begin once the
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 19 days ago
-series. Experience exploring machine learning and deep learning techniques for geospatial applications is highly desirable to effectively engage with Earth observation foundation models. Technical
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development About You You will hold a Ph.D/D.Phil in a quantitative or theoretical discipline (e.g. machine learning, computer science, mathematics, statistics, physics, theoretical neuroscience or a closely
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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robotics engineering. To learn more about the School click here We are currently seeking a Postdoctoral Research Associate in AI Enabled Atomic-Scale Materials Characterisation to work within a highly
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The Princeton Institute for International and Regional Studies (PIIRS) at Princeton University is pleased to announce the call for applications to the PIIRS Postdoctoral Fellowship Program for
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Monday - Friday, 8 a.m. - 5 p.m. Summary A Postdoctoral Associate position is available in the Division of Vascular Surgery’s Vascular Intelligence for Translational AI & Learning (VITAL) Lab
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 19 days ago
include advancing foliar trait retrieval algorithms, atmospheric correction over dense humid tropical canopies, machine learning and dimensionality reduction for handling big data, landscape evolution
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of generative AI tools, use of large language models, machine learning, and ethical frameworks for AI implementation. Ability to apply AI to interdisciplinary research or developing AI models