59 algorithm-development-"Multiple"-"Prof"-"UNIS"-"DIFFER" positions at University of Florida
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Description: Conduct independent and collaborative research on microbial metabolism and genetics Utilize molecular biology, biochemistry, and omics approaches to study oral streptococci Analyze data, prepare
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and their caregivers in person and via phone to screen, recruit, consent, train, and support data collection, in the context of their clinical episode. Must also be confident to effectively build
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college. Duties and Responsibilities Train and participate in a growing clinical and research program in improving care for pediatric feeding disorders and individuals with neurodevelopmental disorders in
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Investigator) and collaborators to develop new research directions and contribute to the lab’s mission of understanding metabolic adaptation, stem cell function, and chronic disease pathogenesis. The expected
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data. - Assist with incorporating scRNA-seq results into multi-modal pipelines. Multi-Modal Data Integration and Modeling - Develop and implement computational workflows for integrating omics, histology
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be made on the experimental run products using MC-ICP-MS and the postdoctoral associate will make the measurements, analyze the data, prepare manuscripts, and present the results at conferences
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. Postdoctoral Associates teach existing upper-division courses in areas such as Writing in the Law, Writing in the Medical Sciences, and Writing in the Humanities and develop courses in their own areas
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, mathematics or related majors Job Description: The Postdoctoral Researcher will play a key role in developing and applying cutting-edge AI methods to analyze large-scale clinical datasets, including electronic
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, support student-athlete health, and well-being, and enable scientific and educational research. The candidate will assist with data curation, creative development of data visualization and analysis tools
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additional AD risk genes and to develop disease models. Work on the projects studying molecular mechanisms that recently identified Alzheimer’s disease risk repeat expansion variants contribute to disease