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Field
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. Research opportunities will focus on the use of novel modeling tools for hydrology and water resources systems, with an emphasis on machine learning and remote sensing, with a focus on developing detailed
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, while contributing to development efforts from algorithm design and testing, synthetic data generation, user interfaces, and model deployment. Initial appointments will be for one year with
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: Using biogeochemical evolutionary models to simulate lifeless and inhabited worlds, and Developing disequilibrium-, redox-, and information-based metrics to understand and quantify the influence of life
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scales. The project involves the modelling of energy infrastructures, the development of scenario-based simulations, and the generation of actionable indicators to support decision-making. You will be part
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of scientific principles and theories. Maintains substantial knowledge of state-of-the-art principles and theories. Develops advanced analytical models and systems and provides solutions and analyses
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on the development of mathematical and computational models of biological systems. This position is supported by an NIH Virtual Consortium for Translational/Transdisciplinary Environmental Research (ViCTER) grant, “In
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patient-derived xenograft (PDX) models to discover novel therapeutic targets and biomarkers. The postdoc will have access to state-of-the-art facilities, multidisciplinary collaborations, and opportunities
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will be expected to dedicate your time develop a high-biofidelity, high-resolution computational rat model with dual applications: i) advance the mechanistic understanding of brain injury by linking
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, predictive models of neurodegenerative disease with a focus on Alzheimer's Disease. Computational models will be developed that utilize data obtained from a wide range of experiments, from basic biochemical
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rigorous, collaborative research aligned with project goals. Develop and apply deep learning models, particularly in computer vision, NLP, and multimodal systems. Publish in peer-reviewed journals and