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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 2 hours ago
to constrain the representation of aerosols in the NASA GEOS Earth System Model. Activities that would be involved in this project include (but are not limited to): Implement machine learning transfer learning
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to apply for a faculty or staff position using the Career worklet, please review this tip sheet . Open-Rank Tenure-Track/Tenured Faculty Positions in Electrical and Computer Engineering College
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engineering or a related discipline Strong programming skills (e.g., Python, R) Experience with data processing and analysis Knowledge of statistics, or a strong willingness to learn A genuine interest in
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, equipment storage, and organization Acquire, manipulate, convert and store analog, digital and computer-based audio and video formats Some video or audio editing as needed or as skill allows Participate in
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28 Mar 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Astronomy » Astrophysics Astronomy » Other Economics » Administrative sciences Economics
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to offer our students a rich variety of expertise, perspectives, and ways of knowing and learning. Department of Computer Engineering and Computer Science The Department of Computer Engineering and
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About the Opportunity Responsibilities: Teach selected undergraduate or graduate courses in the day and evening programs in the Department of Electrical and Computer Engineering. Course topics might
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/Faculty Biological/Biomedical Sciences Engineering Medical - Research Internal Number: A-184691-26 General Description PREP Research Associate This position is part of the National Institute of Standards
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researcher will formulate composite photocurable resins and fabricate parts using a DLP 3D printing process. Parts will be tested and analyzed with a universal testing machine. Responsibilities Learn how
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of: • machine learning • cybersecurity • distributed systems • privacy-enhancing technologies The research will be carried out within the (team name) at LS2N, focusing on trustworthy AI and cybersecurity