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Systems) , an agent-based World–Earth model developed with the copan:LPJmL modelling framework (https://copanlpjml.pik-potsdam.de) to investigate the co-evolution of human land management decision
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interactive, web based simulations that explore alternative representational and interpretive frameworks in quantum mechanics. Research areas include conceptual analysis, visualization, and comparative
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conditions Coordinate and administer the annual agent evaluation and assessment surveys to drive evidence-based decision-making that strengthens recruitment goals, priorities and outcomes Oversee the
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performance. Duties and Responsibilities: Assist the Principal Investigator in conducting research and provide analytical support for battery materials prototyping, testing, and modeling projects
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algorithms Implementation of deep learning and multi-agent systems Improvement of models, e.g. in terms of efficiency, training performance or inference behavior Use of XAI tools to ensure exaplainability
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learning, knowledge-guided AI, and/or translational applied AI models • digital agriculture including crop modeling and/or digital twins of assorted scales • remote-, proximal- and near-proximal
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, potentially from cognitive science, for the AUFF project Designing Organizational Search: A Tournament Study at the Department of Management. Using a game-based platform, we study complex problem-solving by
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Summary Nude modeling for Drawing for the Figure. Career Readiness Competencies : Communication Professionalism Teamwork Essential Functions Reliability Punctuality Retain poses for extended periods
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Fellowship (multiple hires expected). Fellows conduct independent research in cosmological data analysis broadly, spanning research in theoretical and numerical modeling of cosmological, astrophysical
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Agriculture is a state wide campus, with faculty based on University campuses, at Research and Extension Centers and in every Arkansas county. It consists of the Arkansas Agricultural Experiment