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Skip to main content Recruit Home Open Recruitments Postdoctoral Scholar - Agrivoltaics systems analysis and modeling (JPF03056) Postdoctoral Scholar - Agrivoltaics systems analysis and modeling
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general. And more recently, the proposal of Large Language Models opened a wider range of opportunities to explore its use for Software Engineering (LLM4SE). This is the main goal of this research, i.e
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for collaboration, mentorship, and intellectual exchange. Anticipated Division of Time 80% Research: Build, train, and evaluate cutting-edge AI models and multi-agent systems for conservation genomics; perform
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populations. Apply Artificial Intelligence (AI) methods including deep learning (DL) models and supervised and unsupervised machine learning (ML) methods for integration and for Genome-2-Phenome (G2P) and risk
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 10 days ago
element of the terrestrial carbon cycle. NASA's Goddard Earth Observing System Model (GEOS) utilizes the Quick Fire Emissions Dataset (QFED) to represent emissions from vegetation fires in order to model
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populations. Apply Artificial Intelligence (AI) methods including deep learning (DL) models and supervised and unsupervised machine learning (ML) methods for integration and for Genome-2-Phenome (G2P) and risk
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and planning models of electricity systems, power flow and transmission analysis, load forecasting, and climate impacts analysis. The postdoctoral scholar will be expected to lead or contribute to peer
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, network neurobiology of language and memory, and dynamic network modeling. This position is based in the Department of Neuroscience within the School of Behavioral and Brain Sciences at The University
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biological mechanisms driving spillover to understanding distal anthropogenic drivers such as land use change and climate variation. Successful applicants will have a PhD in systems science, systems biology
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approaches to characterize microbial community structure and function, working with graduate students, manuscript preparation and the potential to follow up on observations in research models depending