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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 17 days ago
or computational modeling. Favorable candidates will possess academic research experience with remote sensing data, specifically LiDAR (e.g., GEDI), Synthetic Aperture Radar (SAR), and multispectral optical time
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highly motivated postdoctoral candidate with a background in biogeochemical modelling. You must have successfully completed a PhD programme in Earth Sciences, Environmental Sciences, Biology or a related
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- 23:59 (UTC) Country Brazil Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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This is a fulltime 19 month position starting from 1 February 2027 or as soon possible. The primary duties of the postdoc will be to: - Develop a dynamic access control model that supports multi-tenant
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human health. Within this mission, the Casale Group in the Health Data Science Centre develops AI methods that transform population-scale human data into mechanistic models of disease. Our research
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. Laura Blecha. Preference will be given to candidates with experience and/or interest in modeling gravitational-wave or multi-messenger source populations, the cosmological evolution of black holes and
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the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The postdoctoral
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The recruited candidate will have the overall mission
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Applications are invited for a postdoctoral position at the
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As a postdoctoral researcher, your primary responsibilities will be: Develop machine learning and deep learning models, with a strong focus on computer vision, for the characterisation and