718 programming-"https:"-"https:"-"https:"-"IFM" Postdoctoral positions in United States
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strong background in GNSS data processing techniques, statistical methods for time-series modeling, and crustal deformation studies. Experience in time-series analysis is essential. Strong programming
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and at least eight hours of paid vacation each month Automatic enrollment in the Teacher Retirement System of Texas Health and Wellness: Free exercise programs and release time Professional
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university. In 21st century higher education, international engagement is not an optional extra: as noted in UO's Academic Plan, it is a core mission, essential to a thriving, socially salient, intellectually
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Job Description Job Responsibilities: -Coordinate genomic prediction research in the Texas A&M AgriLife Research Sorghum Improvement Program. -Build and manage a database amenable to both genomic and
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Glimpse of the Job The Arch H. Aplin III '80 Department of Marketing at Mays Business School, Texas A&M University seeks a full-time Postdoctoral Research Associate to advance a rigorous program of original
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implementation of TA programs and processes in line with St. Jude's talent strategy. Understand the process from an applicant's perspective; Develop and deliver a consistent, transparent candidate experience from
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. Support and educate research groups from across the world that are using the developed methods. Mentoring and Training: Support and educate group members (students, postdocs) in programming, version control
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | 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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at large scale. Primary Responsibilities Develop and implement novel mathematical optimization models (e.g., stochastic programming, robust optimization, mixed-integer linear programming) for medium-term
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. Demonstrated experience developing and running computational tools for high-performance computing environment, including distributed parallelism for GPUs. Demonstrated experience in common scientific programming