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Environment Research Council (NERC) and the Advanced Research + Innovation Agency (subject to contract negotiations), in the atmospheric chemistry-climate modelling research groups of Prof Alex Archibald, Prof
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working at the University of Arizona and relocations services, please click here . Duties & Responsibilities Develop novel ML / AI models and techniques for analysis of longitudinal time series data
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-carbon electric power systems, taking into account wake interactions between individual wind turbines. The project focus is on how to generate and utilize reduced-complexity predictive models for windfarm
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personalized biomechanical modeling research and development efforts. In this role, they will help develop and incorporate new model features into existing laboratory models and programs. They will support the
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, combines advanced system neuroscience and computational modeling techniques to study planning in rodents engaged in dynamic spatial foraging tasks. The successful candidate will develop computational models
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earth system model data, with an emphasis on Seamless System for Prediction and EArth System Research (SPEAR) for seasonal to multidecadal prediction and projection. The project will emphasize elements
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simulations, statistical mechanics, computer programming (e.g., C++, Python), polymer theory, molecular modeling (e.g., of proteins, nucleic acids, ligands), coarse-grain and polymer model development
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your scientific knowledge. The central competences required in this research are meteorology, mesoscale modelling, analysis and interpretation of meteorological datasets. We are also interested in
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Posting Details Posting Detail Information Working Title Postdoctoral AI Modeler Position Location Fort Collins, CO Work Location Position qualifies for hybrid/in-office work Research Professional
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some of the following areas: molecular dynamics, Monte Carlo simulations, statistical mechanics, computer programming (e.g., C++, Python), polymer theory, molecular modeling (e.g., of proteins, nucleic