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for continuous and campaign-style recordings; perform time-series and spectral analyses. Integrate seismic signals with tides, water-level anomalies, and wave forcing; evaluate controls of sediment properties
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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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, 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
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involves a mix of field, laboratory, and experimental work. The successful candidate will conduct field sampling, perform follow-up aquatic chemistry analyses, and integrate microfluidic experiments
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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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instructional tools and integrate eye-tracking into immersive learning environments. Disseminate research findings through peer-reviewed publications and presentations at leading conferences in Human–Computer
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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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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