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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 4 hours ago
Science Program with its UAS fleet, the Earth Science Projects Office, and the Airborne Sensor Facility, and is associated with related local capabilities in intelligent systems, supercomputing, flight
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Fellowship Program (Postdoc) is a high-intensity program designed to identify recent Doctoral graduates of high promise and to foster advanced skill development. It allows the postdoc to systematically outline
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A Postdoctoral Research Associate or more senior research position in computational biology is available in the Pritykin lab at the Lewis-Sigler Institute for Integrative Genomics and the
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The Department of Population and Public Health Sciences invites applications for a full-time Postdoctoral Scholar Research Associate in clinical and translational addiction research. This position
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Previous Job Job Title Post-Doctoral Associate- Chemical Engineering and Materials Science- Continuous Recruitment 2025-26 Next Job Apply for Job Job ID 369545 Location Twin Cities Job Family
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Qualifications • Ph.D. in Chemical Engineering, Materials Science, Chemistry, or related field • Experience with computational modeling and simulation of polymers • Record of first-author publications Preferred
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, computational fluid dynamics and material science, dynamical systems, numerical analysis, stochastic problems and stochastic analysis, graph theory and applications, mathematical biology, financial mathematics
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graph theory. Qualifications Candidates with a Ph.D. in any area of cognitive neuroscience broadly defined (e.g., Psychology, Neuroscience, Computer Science, or a related field) are welcome to apply
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: 276110766 Position: Postdoctoral Research Associate Description: A Postdoctoral Research Associate or more senior research position in computational biology is available in the Pritykin lab at the Lewis
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developing and delivering research proposals • Potentially co-develop or co-teach courses in IE Required Qualifications • Ph.D. or equivalent degree in Industrial Engineering, Statistics, Computer Science