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to succeed in obtaining future grant funding. Most importantly, the AI computational biomarkers developed in this program will pave the way for improved patient care through more accurate predictions, allowing
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applicants will have:*Expertise conducting spatial and statistical analyses*Experience with scientific computer programming in R and Python*Formal training or experience applying quantitative and spatial
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Department of Geosciences PRINCETON UNIVERSITY HARRY HESS FELLOWS PROGRAM The Department of Geosciences at Princeton University announces competition for the 2026-2027 Harry Hess Fellows Program
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deep expertise in computational approaches to social science, including but not limited to the collection and analysis of large amounts of data. The applicant will be intimately familiar with
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responsible for conducting highly specialized and technical research. The individual will be primarily engaged in the use of computational methods for compound design, including but not limited to molecular
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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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Physical Requirements Sitting at computer workstation for long periods of time; Standing for long periods of time; Repetitive motion; Job Related Travel (occasional); Hazardous Chemicals or fumes; Burns/Cuts
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and capacity evaluations for CO₂ sequestration. This position includes a health, dental and vision insurance program . Responsibilities and Essential Duties • Conduct reservoir simulation modeling
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 15 hours ago
of models and observational data using Python, Matlab, R, etc. Expertise required in developing new models, algorithms for dispersion, gas-phase chemistry and/or aerosol microphysics model Preferred
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Position Description The Massive Data Institute (MDI) and the Department of Computer Science seek a postdoctoral fellow to join a project that focuses on responsible AI innovation. The project is led by