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                disorders, Alzheimer’s disease, human genetics, transcriptomic analysis, epigenetic study, patient derived models, mouse models of neurodegenerative disorders, immuno-based methods, CRISPR/Cas based tools 
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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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                neurodegenerative diseases. ALS is the primary disease focus. The potential projects within this area include but are not limited to: Cell based assays (primarily imaging) for mitochondrial biology using human 
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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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                )-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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                historical CORONA satellite imagery Integrate multi-source datasets including GEDI LiDAR and GLOBE citizen science observations Apply cutting-edge geospatial and statistical modeling techniques to quantify 
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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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                , imaging informatics, and large language models (LLM) is preferred. This position will require collaboration with multiple stakeholders, including informatics experts, clinicians, basic scientists, and 
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                fibroids and eliminating fibroid health disparities. The project will provide education on fibroid symptoms/management, identify barriers to care, and improve risk prediction models to identify women with