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collaborative research program assessing recreation ecology and its application to federal public lands management. This position is funded through a Mutual Benefit Agreement between MSU and the USDA Forest
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will close at 12:01 a.m. CT on the specified Closing Date (if designated). If you close the browser or exit your application prior to submitting, the application process will be saved as a draft. You
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. At Eindhoven University of Technology, we are launching a new research programme that aims to develop the mathematical foundations for next-generation Digital Twins: computational representations of physical
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 20 days ago
degree in a relevant STEM field, including Meteorology, Physics, Mathematics, or Computer Science. -Advanced programming skills with experience handling and analyzing big data (e.g., Python). -Previous
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to work at the interface of physical chemistry, spectroscopy, photochemistry and instrumentation. This is a heavily hands-on oriented position: you will not only measure samples, but also build, automate
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Postdoctoral Research Associates to join out research team. Our research program, supported by funding from the National Institute of General Medical Services (NIGMS) and start-up funding for the Eppley
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Department of Computer Science and Engineering , a joint department of Chalmers and the University of Gothenburg, spans the breadth of computing disciplines. Our internationally visible research, strong
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Engineering, Computer Engineering, Mechatronics Engineering, Physics, Electrical Engineering, Chemical Engineering, Mechanical Engineering or other related subjects. Experience working on experimental
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12 Sep 2026 Job Information Organisation/Company CNRS Department Laboratoire de météorologie dynamique Research Field Environmental science Environmental science » Earth science Environmental
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dedicated researcher with a PhD in mathematics, electrical or mechanical engineering, computer science or a related field, and a strong methodological background in machine learning. The ideal candidate has