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inhibition and feedback constrain reachable network states and transitions. Analyze large-scale electrophysiological and behavioral datasets and connect model predictions to neuronal spiking, population
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Sciences Location Bloomington Position Summary Position Overview The Postdoctoral Researcher will join an NSF-funded project developing and testing computational models of how decisions evolve over time. The
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 20 hours ago
. Description: This project will develop a multimodal artificial intelligence framework to characterize and predict dynamic changes in forest structure, aboveground biomass, and carbon storage under hydroclimatic
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Position Overview School / Campus / College: College of the Environment Organization: Applied Physics Lab Title: Postdoctoral Scholar in Physical Oceanography 4D-Var Modeling Position Details
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-driven mathematical modeling in a transdiagnostic clinical cohort. https://impact-mh.org/awardees/impact-mh/ IMPACT-Y is collecting repeated measures from approximately 2,400 individuals across multiple
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, observations, a hierarchy of numerical models, and machine-learning methods to understand their formation, dynamics, and predictability. The successful candidate will have substantial freedom to develop
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Management and Strategy Posting Number R260147 Posting Link https://www.ubjobs.buffalo.edu/postings/64432 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary
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data-model integration, leveraging the U.S. Department of Energy’s (DOE) Leadership-Class Computing Facilities to advance predictive understanding of complex environmental systems. Major Duties
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 14 days ago
offers hands-on experience with operational satellite retrieval algorithms, physics-based forward modeling, and mission-scale validation practice, complementing the participant's background and advancing
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molecular discovery. The position is ideal for a candidate who wants to turn deep mechanistic understanding into predictive models and closed-loop discovery workflows. Our lab develops and applies machine