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III, for activities in the field of Ecosystem Dynamics and Computational Oceanography. Proven ability, supported by objective evidence, is required in independently achieving significant advancements in
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 4 hours ago
-, yarn- and weave-scale structure and physics with thermal protection composite-scale performance. Objective: We are seeking proposals to apply and develop simulation techniques to study the role of micro
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. The team has a proven track record of mentoring early-career researchers and supporting prestigious fellowships and awards, including CIHR, NARSAD, FRQS, and EU grants. This commitment to mentorship ensures
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About the role This is an exciting opportunity to work at the forefront of a new area of research exploring the interaction between avian vision and collisions with anthropogenic objects
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demands the development of a highly loaded, lightweight turbo-compressor. The objective of this research project is to develop a surrogate model of the compressor to enable the simultaneous optimization
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intensive longitudinal data obtained through ecological momentary assessment, smartphone-based tracking, and screenshot capture methods. - Manage data submission and sharing in compliance with National
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. The position is focused on the discovery and characterization of small-molecule protein degraders. This position offers up to five years of support, based on performance. Candidates with a proven track record in
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relevant scientific subject though we would consider a very strong candidate with an MSc and substantial relevant experience. You will have a proven track record of developing and delivering reproducible
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testing it in microscopy, spectroscopy and sensing applications. We are looking for motivated and independent candidates with a track record in experimental research in the field of optical frequency combs
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project focuses on estimating dead fuel produced by forest dieback. In previous projects, a processing chain using Sentinel-2 data has already been developed (Mouret et al., 2024). The objective here is to