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state-of-the-art statistical and mathematical methodology to improve understanding of epidemic dynamics and control. They will work on one of the new projects starting in the Unit, including i) analysing
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will have the objective of developing models for estimating and predicting the yields of targeted crops in Africa. Main responsibilities: The selected candidate will be expected to: Collect the data
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 12 hours ago
they are Legal Permanent Residents of the United States. A complete list of Designated Countries can be found at: https://www.nasa.gov/oiir/export-control . Eligibility is currently open to: U.S. Citizens; U.S
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online state estimation. Part of the project will include locomotion in challenging terrain and interaction/manipulation with the environment. You will be responsible for the design, development
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criteria: 1. A PhD in Engineering or similar discipline 2. Strong engineering and analytical skills 3. Computer modelling skills (i.e. MATLAB or Python) 4. A comprehensive
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 10 hours ago
Hiring Range Dependent upon qualifications and experience Proposed Start Date 05/11/2026 Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in
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specific applications. This project addresses the scientific and methodological challenge of converting InSAR observations and estimates into actionable, application-specific information. The postdoc will
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on these faults: it partly controls the rupture initiation and arrest and thus the rupture extent, but also the amplitude of the ground displacements and accelerations and thus the earthquake magnitude and harmful
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. This full-time position offers a unique opportunity to contribute to high-impact research in drones, AI, and human-computer interaction. Successful candidates will join a dynamic and inspiring international
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evaluation of advanced applications for network benchmarking, road hazard warning, and pseudo-remote driving supported by computer vision, while also supporting the broader research and integration activities