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disparities across the prevention and survivorship continuum. Our work leverages large-scale cohort studies, registry data, and multi-omics platforms to generate actionable, high-impact insights. The team
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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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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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Argonne National Laboratory invites applications for a Postdoctoral Researcher position in Superconducting Detector Development and CMB Instrumentation. This role focuses on advancing large arrays
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the most pressing health and healthcare challenges. Considerable strength exists in the analysis of large, integrated health-related clinical and administrative datasets, national surveys, and other data
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collaboration with healthcare practitioners and working with large-scale data. The candidate will be required to relocate to Houston, home to one of the world's largest medical centers. The initial term
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Position Details Position Information Announcement Number STAFF - VA - 26374 For questions regarding this position, please contact: Dorie Seymour dorie.seymour@montana.edu 406-994-5718
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Experience with unstructured grid ocean modeling system. Experience of using programming language Python to deal with large 3D ocean data. Ocean modeling under Linux environment; Python programming; SCHISM
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one first-author published manuscript in relevant field Knowledge, Skills and Attitudes: Skill in collecting, organizing, and analyzing data. Experience working with and supporting large-scale
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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