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environment. The successful candidate will develop and apply advanced machine learning techniques—including multimodal AI, computer vision, and large language models—to complex scientific and engineering
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requires working with large data sets related to parenting and child development across multiple sites in the United States, helping to prepare data and estimate models for a variety of research papers, and
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methodologies and tools for economic and ecological analyses of hydropower systems. The position will involve the development and use of computer models, simulations, algorithms, databases, economic models, and
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, proteomics, metabolomics, and computational modeling, fostering high-impact interdisciplinary research. Responsibilities: The successful candidate will work on projects, which will be involved in one or more
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Academy of Engineering) and is fixed-term for 5 months. You will join the design by fundamentals team, developing material models to guide fusion reactor design. You will be responsible for performing
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involves mouse behavioral models and a variety of high-tech tools used to interrogate neural circuits. Tools used include chemogenetics, optogenetics, fiber photometry, in vivo electrophysiology, and
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genome-based influenza and/or SARS-CoV-2 risk assessment algorithms, designing broadly protective influenza and SARS-CoV-2 vaccines using Machine Learning and Artificial Intelligence, modeling the impacts
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to ensure adequate supply of vitamins and minerals from diets from sustainable sources. Using high-throughput biomarker and data analysis and modelling, Zero_HiddenHunger_EU will deliver credible evidence
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at a fraction of the computational cost. Recently Argonne successfully implemented, AERIS, a state-of-the-art seasonal-to-subseasonal (S2S) weather model AI model. A successful candidate will collaborate
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and lanthanides within controlled atmosphere gloveboxes. Apply chemical thermodynamic and kinetic theories to understand processes and develop models of material interactions and behavior in molten salt