29 algorithm-development-"Prof"-"Prof"-"Prof" Postdoctoral positions at University of Florida
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unravel the complex relationships between land use changes and fire regimes over the past 60 years. The successful candidate will lead efforts to: Develop advanced deep learning algorithms for classifying
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supported by our college-level instructional design team for course development and delivery and by our research core for grant development and submission. Dr. Jinling Liu’s laboratory (https
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, Florida, you'll engage in cutting-edge AAV vector research alongside a collaborative team of scientists and clinicians. This position offers the chance to develop your expertise in gene therapy while
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technologies and educational innovation. The Postdoctoral Associate will collaborate with faculty, students, and development teams to advance projects that examine how virtual reality (VR) and eye-tracking
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) Intensive Support (Suicide Prevention and Intervention) , (3) Alcohol and Other Drugs Prevention and Intervention. Program development opportunities may be available, working alongside the program
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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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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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influence placental physiology, fetal development and long-term health outcomes. The successful candidate will join a dedicated research team conducting translational studies using animal models, human tissue
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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