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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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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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lung fibrosis. The ideal candidate will independently perform studies utilizing established in vitro, ex vivo and in vivo preclinical models and will have the opportunity to develop and refine novel
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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
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Zanna, the successful candidate will focus on developing generative machine learning models for complex dynamical systems for probabilistic forecasts. The postdoc will be expected to lead independent
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department. The project aims to advance predictive modeling frameworks for structural architected materials that exhibit complex instability and bifurcation phenomena. The research will involve close
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., encoder models, multi-modal embeddings, large language models), and mathematical modeling to map scientific concepts and their relationships, tracing how they change, merge, or diverge across time. Your