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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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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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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
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ecosystems specific to wetlands. Hydrologic modeling and geospatial assessment tools. Application must be submitted by 11:55 p.m. (ET) of the posting end date. Individuals wishing to apply should go online to
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development in Drosophila and beyond. We are an evolutionary and developmental genetics lab, broadly interested in the structure and evolution of the gene circuits that underlie organ development and function
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a significant amount of hydrologic modeling; thus, experience working with the Soil and Water Assessment Tool (SWAT) are desired. The applicant should have a valid driver's license and anticipate
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on conducting problem-oriented and policy-relevant research, developing econometric models to understand the economic and behavioral incentives for using new farm management practices and technology adoption, and
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)-statistics, (applied) mathematics, or a related STEM field. Prior working experience with EHR data, machine learning, NLP, bioinformatics, and large language models (LLM) is preferred. In particular
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. The research interests of the group include beyond Standard Model phenomenology, dark matter, cosmology, and gravitational waves. The UF particle theory group includes Professors Jeff Dror, Yohei Ema, Rachel
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structural elucidation, and (iii) synthetic chemistry and biocatalysis for the preparation and evaluation of antibody-drug conjugates (ADCs) as the next generation anticancer therapies by site-specific