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Field
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quantitative expertise in one or more of the following areas: human decision making; decision modeling; human-machine interaction; human perceptions of AI; large language models; data simulation; machine
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models for microelectronics materials Curate, manage, and integrate heterogeneous datasets from experiments and simulations Collaborate closely with experimental teams to benchmark and refine computational
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longitudinal and regression methods (e.g., linear mixed models, generalized additive models), survival analysis, and meta-analysis. * Experience with version control and reproducible workflows. * Effective
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to independently design, execute, and interpret numerical simulations, and to integrate modeling results with laboratory, imaging, or field data related to frozen soils or permafrost. Strong scientific writing
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Requisition Id 16167 Overview: The Multiphysics Modeling and Flows (MMF) Group in the Computational Sciences and Engineering Division is seeking a Postdoctoral Research Associate with expertise in
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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of the forest radiative transfer modelling to simulate LiDAR signatures Lead publications in peer-reviewed journals This position is part of an international research project together with BOKU Wien and GFZ
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. The selected candidate is expected to have expertise in one or more of the following areas: modeling contaminant flow and transport at various geospatial scales, process-based modeling of soil organic matter
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analyze a suite of high-resolution regional ocean biogeochemical model simulations to provide actionable information to decision makers as part of NOAA’s Changing Ecosystems and Fisheries Initiative (CEFI
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The Duarte Group works at the forefront of computational chemistry, developing predictive tools for reaction modelling and molecular design across catalysis, sustainability, and health. Alongside