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working on several projects involving medical image analysis, neuroimaging, and neuroscience. This position is based in the Developmental Network Neurobiology Lab in the UF School of Medicine in
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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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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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)-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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ability to analyze large datasets Knowledge of coastal and nearshore processes Preferred Qualifications: Proficiency in statistical modeling and time series analysis Experience with machine learning or deep
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as cell culture, gene editing, IP, WB, flow cytometry, etc. Epigenetics/Genomics approaches: ChIP, ChIP-seq/CUT&RUN, ATAC-seq, RNA-seq, CRISPR Screening, etc. Expertise in in vivo animal models
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related field by the date of appointment. The position is renewable annually for up to three years based on satisfactory performance and availability of funding. UF is the state’s oldest, largest, and most
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, evo-devo, neurophysiology, and behavior projects ongoing. Work will primarily be related to the genetics and physiology of opsin-expressing sensory cells in the lab’s model system, Nematostella
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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