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geometry, gauge theory, AdS/CFT) and proficiency in formal calculation tools (Mathematica, Maple, Sage, etc.) will be particularly appreciated. Website for additional job details https://emploi.cnrs.fr
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also carries information about the treatment assignment, conditioning on it can bias the causal estimate. Your task is to collaborate with our team at CSE that is leading the methods development and then
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. For more information about the RNA Technologies Flagship, visit: https://rna.iit.it/ The project aims to develop a new generation of artificial intelligence models to systematically investigate the role
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 13 days ago
-water-balance processes turns satellite soil moisture into an independent constraint on precipitation — a "natural rain gauge" complementary to atmospheric retrievals such as GPM, particularly over
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mixtures, including information retrieval, random access, approximate search, querying and filtering, encryption, compression, and many other information-processing tasks. Our team is looking for a talented
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contribution and additional voluntary retirement programs (457 or 403b) are available. https://www.kumc.edu/human-resources/benefits.html Employee Type: Regular Time Type: Full time Rate Type: Salary
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Systems (ICMS), in which all polymer-related research groups at the TU/e participate. A description of the group can be found here: https://www.tue.nl/en/research/research-groups/polymer-performance
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Lab Research 70%; Computer Research 10%; Field/Greenhouse Research 5%; Writing and manuscripts 10% Requirements Required: PhD in Plant Biology, Entomology, Microbiology, or a related field. Experience
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, yet have a broad view of the world. We are proud of a positive and inclusive workplace culture within the faculty, where we work together with great energy and a pragmatic attitude to tackle social
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environments, spectral sensing in the visible and near-infrared (NIR) range to estimate sugar and starch content, chlorophyll levels, and plant water status, AI-based computer vision systems to monitor crop