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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
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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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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
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contribute to the excellence of our academic community. We are seeking a postdoctoral fellow with experience working with large-scale healthcare claims data to conduct data analyses and write manuscripts for a
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research team spanning the nation, working on large-scale assessment development, educational data analysis, and professional development resources for STEM instructors. Duties and Responsibilities Conduct
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, large language models, or computer vision is preferred Knowledge, Skills and Abilities: · Teamwork: Ability to collaborate with others and contribute to a team environment · Communication
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Requisition Details GENERAL REQUISITION INFORMATION EEO Statement: UNMC is an Equal Employment Opportunity Employer, including an equal opportunity employer of protected veterans and individuals
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fully funded Postdoctoral position to study Alzheimer’s disease and other neurodegenerative disease proteomics signatures. The Cruchaga lab generates and analyzes high-throughput multi-omic data to study
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biostatistical methods to better personalize treatment of cancer patients from deep and diverse types of biomedical information. Analysis of large‑scale clinical, genomic, and molecular datasets. Development and