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with process-based models, including APEX, SWAT, EPIC, DayCent, or DNDC. Proficiency in computer programming, including scripting in Python, Fortran, or other computing tools for data processing and
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healthcare domains is highly desirable Experience building well-annotated, longitudinal databases integrating clinical data, images, and biospecimens Healthcare database experience (Epic Cosmos, claims
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source for EIC and the design of the ePIC Barrel Imaging Calorimeter. Argonne National Laboratory, situated near Chicago, is a prominent multidisciplinary science and engineering research center. We are
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field or foreign equivalent degree in hand by May 31, 2025. Preferred Qualifications: Knowledge of high energy QCD through experiments at Jefferson Lab, RHIC or LHC and work on EIC/ePIC detector
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field or foreign equivalent degree in hand by May 31, 2025. Preferred Qualifications: Knowledge of high energy QCD through experiments at Jefferson Lab, RHIC or LHC and work on EIC/ePIC detector
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. • Expertise navigating electronic health records (e.g., EPIC) and interpreting medical terminology. • Ability to work flexible hours as required by study protocols to include on call and weekends Preferred
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infections using electronic phenotyping, supervised machine learning, live Epic/FHIR implementations for silent deployment, and multi-site data coordination. https://reporter.nih.gov/search
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for data-efficient exploration and optimization within the process parameter space as well as for adaptive, data-driven machine learning to map the electrolysis process to a digital twin. Data workflows and
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of locus-specific and next-generation techniques such as RNA-seq, RRBS, and WGBS, as well as EPIC arrays in human and mouse sperm and mouse embryos. Opportunities for postdoc-driven independent