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Field
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fields – supporting the rapid growth and evolution of computer science and computational areas of allied fields such as mathematics, as reflected notably in the rise of artificial intelligence; computing
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for three professional references, and a brief description of your research background. Education Requirement: PhD in computer science, mathematics, or statistics. Required Qualifications: Strong record
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, engaging with the academic community. Optional: Contribute to teaching responsibilities, including delivering lectures, and supporting curriculum development (subject to program needs and funding agency
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 5 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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for detailed information on how to apply for the MLEF program. Application tips can be found on the MLEF website. Application Deadline 1/8/2027 11:59:59 PM Eastern Time Zone Description The U.S. Department
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and soil assessment, hydrologic monitoring, remote sensing, GIS applications, and processed-based model calibration. The program is designed to develop you into an independent researcher capable
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Application Deadline 31 Oct 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Full-time Hours Per Week 35 Is the job funded through the EU Research Framework Programme? Horizon
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fields – supporting the rapid growth and evolution of computer science and computational areas of allied fields such as mathematics, as reflected notably in the rise of artificial intelligence; computing
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Your profile PhD applicants must possess a Master's degree in mathematics, theoretical physics, computer science, or a related field. Postdoctoral applicants must hold, or be close to completing, a
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research in the natural, mathematical and computer sciences with a focus on the processing, structuring, and analyzing of large amounts of complex data and the development of computational methods and