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and Transportation (CAIT) invite applications for a Postdoctoral Associate position in the area of monitoring and modeling of flood hazard with applications in flood early warning systems, flood risk
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 2 months ago
have been collected across North America, supporting studies of forest carbon stocks, vegetation composition, forest health, and managed landscapes (agriculture, urban, and coastal environments
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qualitative data into quantitative models. A track record of high-quality publications. The position requires sound verbal and written communication skills in English. Swedish is not a requirement but Chalmers
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The position's field of research focuses on developing and implementing safe, transparent, and explainable AI systems using multimodal deep learning and Large Language Models (LLMs) for healthcare
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lie in the multi-disciplinary nature of its research teams, allowing it to combine insights across areas such as MRE Technologies, Materials & Structures, Observations & Operations, Coastal & Marine
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collaboration with KTH, the Royal Institute of Technology in Stockholm, where experiments and model-scale sea trials will take place. The team has well-established partnerships in wind-assisted propulsion and
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and human subjects training. Approximately 40% of the postdoctoral scholar’s time will be devoted to computational modeling of atmospheric acoustics and generation of scholarly products (papers and
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include AI/ML techniques and biophysical modeling. This work aims to address critical challenges faced by federal, state, and local water resource agencies, with applications extending to coastal ecological
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linkages between various fisheries and related ecological and social drivers. Climate change focused activities are expected to leverage large climate data sets as well as downscaled climate models
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
strong background in systems-based approaches to modeling risks that involve consideration of hazard (e.g., high streamflow), vulnerability (e.g., levees, dams) and exposure/value (e.g., property value