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clinical features using machine learning and foundational modeling approaches. This work supports disease modeling across chronic kidney disease, acute kidney injury, cancer, and neurological conditions. A
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ecosystem modeling; downloading and processing projected future climate data; designing field experiments; procuring necessary field and laboratory equipment and supplies; conducting experiments; and
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models, human tissue, stem cell models, and single-cell multi-omics to advance precision medicine. We place a particular emphasis on understanding mechanisms of cardiac arrhythmias to identify more
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, transportation, and computing. The CIR Group is a part of the Geospatial Science and Human Security Division at ORNL. The CIR group is heavily engaged in modeling risk and resilience of critical infrastructures
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bioinformatics, and statistical modeling to decode the complex molecular mechanisms that shape human vision. By leveraging high-dimensional data and cutting-edge computational analyses, we aim to uncover
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complex piece of research equipment. 4. May review and evaluate the effectiveness of personnel. 5. May plan for and assign personnel to projects under control. 6. Operates with latitude for unreviewed
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place technologies and to develop digital twin algorithms to assist clinicians in developing treatment plans. Analyzes complex sensor data, works with a multidisciplinary team to develop health digital
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to innovate and address complex global challenges, all while preparing the next generation of leaders. We are committed to supporting and guiding you throughout your academic journey, ensuring that your
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artificial intelligence for advanced modeling and analysis. The successful candidate must be self-motivated and can think broadly and conceptually and formulate creative, sophisticated solutions to complex
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pathologies, and ocular fibrosis. We focus on understanding the complex interactions among retinal pigment epithelial (RPE) cells, macrophages/microglia, endothelial cells, and fibroblasts, with an emphasis