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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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clinical features using machine learning and foundational modeling approaches. This work supports disease modeling across chronic kidney disease, acute kidney injury, cancer, and neurological conditions. A
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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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other research and clinical activities aligned with the UF Health CAN mission may also be expected. Please note that assignments may be adjusted based on the evolving needs of the department and/or
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manuscripts, and present findings at scientific meetings Mentor and train students in laboratory techniques and research methodology Expected Salary: Based on NIH guidelines and applicants experience. Required