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for analysis of health record data for patient diagnosis and outcome prediction. Perform large-scale querying and analysis of clinical health record databases. Engage with clinical collaborators, to place the
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very large datasets of epidemic indicators, such as case surveillance data, cellular phone data, and mobility patterns. Qualifications: PhD in a quantitative field such as mathematics, network science
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commensurate with abilities and experience Type of Position Other Position Time Status Full-Time Required Education PhD in Engineering Required Related Experience see Skills / Knowledge / Abilities Required
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understand cancer biology, identify diagnostic and prognostic biomarkers, and improve cancer therapy. Projects will involve the development of AI solutions, particularly by leveraging large language and vision
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evaluation. The models will then be implemented by the candidate to model longitudinally collected imaging data in large observational studies such as the Alzheimer’s disease neuroimaging initiative and the
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commensurate with abilities and experience Type of Position Other Position Time Status Full-Time Required Education PhD in Engineering Required Related Experience see Skills / Knowledge / Abilities Required
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, Division of Computational Biology) on research using large-scale EHR data sources, including Epic Cosmos and PEDSnet. Ideal candidates will have experience in one or more of the following areas: EHR-based
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communication skills, and can work both independently and as an effective member of a large research team. The candidate will be expected to initiate new research proposals for both intramural and extramural
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experiments within the Pediatric Brain Tumor Research Program. This position will be responsible for evaluation and analyzing large sequencing and multiome data-sets. Baylor College of Medicine typically
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integrates neuroimaging, sleep measurement, digital phenotyping, electronic health record (EHR) data, and deep clinical phenotyping to identify predictors of symptom trajectories and functional outcomes in