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integrated circuits (IC) and printed circuit boards (PCB). Additionally, the candidate should demonstrate expertise in applying computer vision, image analysis techniques, machine learning, deep learning to IC
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circuit mechanisms underlying addiction and neurodegenerative disease and using multi-level approaches that include fiber photometry, patch-clamp electrophysiology, optogenetics and chemogenetics, spatial
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to enable downstream APIs and feature services Develop ETL workflows for cross-domain spatial data integration using staged refinement (e.g. Medallion Architecture) Engage with UF faculty leading FLDT
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start on or near November 1, 2025. The lab broadly seeks to understand how genes relate to phenotype in the context of visual system evolution. The lab is multidisciplinary and integrative, with genomics
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the National Park Service focusing on the development of a fine-scale integrated surface-water and groundwater model for Water Conservation Area 3 (WCA-3) and Northern Everglades National Park (ENP). Position
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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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of these proteins in physiological and disease contexts. Our lab integrates chemical proteomic technologies—such as activity-based protein profiling (ABPP)—with functional genomic technologies like CRISPR screening
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Yang in the Department of Geography at the University of Florida to begin in July 2025. This cutting-edge research integrates historical satellite imagery, modern LiDAR data, and citizen science to
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, proteomics, lipidomics and metabolomics in large-scale human populations. The lab is interested in integrating and mining the different types of data to understand the genomic causes and other biomarkers as