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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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                students have received numerous national awards in research and mentoring and are committed to excellence in training. The department offers an PhD, Master of Science, and concentration in the MPH program 
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                animal models and extending these insights to understanding and intervening in human diseases. Successful candidates will be self-motivated scientists, with a passion for advancing cutting-edge research 
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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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                Classification Title: Post-Doctoral Associate Classification Minimum Requirements: Must have PhD in astronomy or physics. This position will be initially awarded for one year, and, contingent upon 
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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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                Classification Title: Post Doctoral Associate Classification Minimum Requirements: PhD in experimental particle physics at the time of appointment. Job Description: The UF CMS group currently 
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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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                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