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IFAS. This individual will have expertise in computer science, industrial and systems engineering, or related fields to contribute to cutting-edge research at the intersection of food systems, packaging
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symptoms across the healthcare system, by integrating neuroimaging, psychophysiology, and computational modeling. Our work spans from basic science to clinical/translational neuroscience with humans, and our
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broad impact across multiple clinical and neuroscientific disciplines. A strong foundation of technical skills in artificial intelligence applications is essential for success of this project. Cutting
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: Measuring the dynamic impact of personal social networks on language learning outcomes (NSF-2341628) led by Dr. Eleonora Rossi in the Department of Linguistics, together with an interdisciplinary team of co