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areas : 1/ Development of methods to estimate residential environmental exposures • Develop spatialized indicators of exposure to atmospheric contaminants (gaseous pollutants and pesticides) based
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floating offshore wind (FLOW) in deeper Atlantic and Celtic Sea waters. These are among the most energetic waters in which FLOW has been contemplated. Wave conditions frequently exceed the operating limits
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. The tasks include battery cell characterization and modelling based on laboratory tests, and development of algorithms for estimating the charge level, health, and power capability which includes robustness
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 20 days ago
processing is required. Our research group utilizes ultra-high vacuum and cryogenic laboratory systems equipped with various radiation sources to simulate these extreme conditions, investigating gas-grain
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in AI for genomics (e.g., generative models, transformers, genomic language models, agentic AI) and related areas of statistics (e.g., uncertainty quantification for machine learning and AI). Apply
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conditions, including charging protocols, temperature and mechanical loading, influence battery performance, degradation and lifetime. The work combines physics-based modelling with machine learning
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to obtain one before or shortly after the start of the position. Good-to-haves Experience with exoplanet transit observations and light curve modeling. Experience with telescope operations, instrument
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vibration control, with demonstrated expertise in stochastic dynamics or random vibration, computational modeling, and experimental validation of mechanical systems. The successful candidate will work closely
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also develop resource models by compiling relevant datasets and applying data science tools. The Postdoctoral Associate should be able to work effectively with collaborators from diverse disciplinary
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multiple Jurassic cold snaps using stable carbon isotope fractionation measured in molecular fossils e.g. phytane. Integrated with Earth System models, this approach allows to quantify carbon–climate