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Field
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industrial partners through regular progress reports and supporting technology transfer processes where applicable. You will also be expected to participate in preparing, presenting, and discussing data with
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, spatial and hydrologic modeling, statistical analysis, high-impact technical publishing, and collaborative proposal development. In support of NRRI’s mission to deliver applied science and sustainable
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: 285829827 Postdoctoral Research Associate Location: Princeton University Salary Range or Pay Grade: $65,000.00 Description Prof. Lynn Loo's Research Group at Princeton University (https
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 14 days 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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may also extend to leading the communication with industrial partners through regular progress reports and supporting technology transfer processes where applicable. You will also be expected
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industrial partners through regular progress reports and supporting technology transfer processes where applicable. You will also be expected to participate in preparing, presenting, and discussing data with
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: 278296 Minimum Education and Experience: Minimum Education: Ph.D. in chemistry, physics, computer science, or a related field, or Ph.D. expected by May 2027. Experience: Demonstrated experience in at least
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are seeking a highly motivated post-doctoral research associate to join our Microbiota Therapeutics Program, a multidisciplinary team that is focused on development of fecal microbiota-based drugs. The Program
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in probabilistic temporal event dynamics. Required Qualifications: - PhD in computer science, engineering, biomedical data science, informatics with advantage for experience in conducting research
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to, atmospheric science, environmental engineering, earth observation, and computer science. Strong programming skills and experience with machine learning applications in geoscience are highly desirable