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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
: 277494287 Position: Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning Description: The Atmospheric and Oceanic Sciences Program at Princeton University, in
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 6 hours ago
Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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methodologies and tools for economic and ecological analyses of hydropower systems. The position will involve the development and use of computer models, simulations, algorithms, databases, economic models, and
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performance. Minimum Education and Experience Ph.D in a related field. Preferred Education and Experience Preferred Education and Experience: 3-5 years of research experience in molecular pain models and/or
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initiatives . In the Pharmacology & Physiology Department, this role will focus on the behavioral and electrophysiological basis of autonomic dysfunction in animal models of opioid induced respiratory
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Vera C. Rubin Observatory’s Legacy Survey of Space and Time (LSST). We especially value candidates with strong technical skills for data-intensive research and statistical modeling. IU Astronomy has
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: 6582425 Postdoctoral Employee - Artificial Intelligence - Electrical Engineering and Computer Sciences Department Position overview Salary range: The UC postdoc salary scales set the minimum pay determined
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A Postdoctoral Research Associate position in advanced MRI acquisition, analysis, and modeling is available in the Department of Radiology at the University of Virginia School of Medicine, under
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techniques (e.g. explainable, ethical, empathic and agentic AI), natural language processing (NLP), large language models (LLMs), data science methods, and mHealth to analyze large-scale, multidimensional, and
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, modeling, or AI/ML approaches in agricultural or environmental research. -Proficiency in server administration, distributed computing, and cloud platforms (AWS, Azure, Google Cloud). -Knowledge of full-stack