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primary expertise is in latent growth modeling, SEM, or psychometrics may not be the best fit. Special Instructions to Applicants: To apply, please visit https://jobs.ufl.edu and reference requisition
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Objectives: The goal is to investigate super-Planckian radiative heat transfer phenomena in nanostructured media and metamaterials. Build models of nanostructured radiative heat emitters and receivers. Perform
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), Eq3 (3D liver models), and Eq4 (Germany, redox chemistry, and proteomics). The objectives are to: - Develop a plasma jet to treat pathological liver tissue in situ, and analyze the physicochemical
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extensive electromagnetic modeling to optimize the waveguide structures for minimal loss, efficient confinement, and effective mode matching with external optical components. Particular attention will be
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the interface of plasma physics, quantum electrodynamics, and computational modeling. Your qualifications PhD degree in physics Knowledge of laser-plasma physics Theory and modelling of ultra-intense laser-matter
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at Cornell University is seeking a Postdoctoral Associate to advance research on maize and grass molecular diversity using genomic large language models (AI). The goal is to design nitrogen-efficient maize
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-, outcome- and sensory-guided actions, and how these processes are disrupted in genetic neurodevelopmental disorder models, including autism, OCD, ADHD, and intellectual disability. Postdocs will work in a
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The Postdoctoral Researcher will join a new interdisciplinary project developing an AI-augmented decision science platform to understand and model high-stakes human judgments. This position will be jointly mentored
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, the postdoctoral researcher will be responsible for contributing to the development of advanced methodologies for predicting crystal structures (CSP) based solely on their chemical composition and atomistic modeling
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given to candidates with expertise and experience with large language models (programming, benchmarking, human-centered evaluation), strong data science / computational modeling / statistical analysis