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Description Every year, the National Science Foundation (NSF) awards approximately 2,000 three-year Graduate Research Fellowships to individuals who have demonstrated ability and special aptitude
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Division (TEC-ED) in the Electrical Department (TEC-E). Their main area of responsibility is to provide direct and indirect engineering support to ESA projects and European industry in the fields of EEE
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About us The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Science, Technology and Medicine (FSTM
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biological domains is a must PhD in computational biology, computer engineering, computer science, (bio)statistics, artificial intelligence, physics, or related. Desire to push the frontier
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Max Planck Institute for Plasma Physics (Garching), Garching | Garching an der Alz, Bayern | Germany | 2 months ago
) in Garching is seeking a Postdoctoral Researcher in Physics or Mechanical Engineering / Process Engineering (m/f/d) to join the ITER Technology & Diagnostics (ITED) division and contribute
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Helen Hay Whitney Foundation: Research Fellowship Eligibility: Candidates must have been employed in their postdoctoral laboratory for no more than one year before the application deadline, and must
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Position Title: Postdoctoral Research Associate in Electrical and Computer Engineering Appointment Type: Post Doc/Trainee Job Description: Summary of Duties and Responsibilities: The Department
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About the role We are seeking a full-time Postdoctoral Research Assistant to join Circular Economy and Sustainability Lab at the Department of Engineering Science (central Oxford). The post is
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Full time 12 month fixed term opportunity (with the possibility of extension) Contribute to cutting-edge interdisciplinary research in biomedical rehabilitation engineering Base Salary Level A (6-8
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 10 days ago
aperture radar and LiDAR-derived vegetation characterizations into multimodal geospatial learning pipelines. These capabilities will be applied to Earth observation foundation models. The participant will