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/bioinformatics, and data science. Work Performed · Work in highly collaborative inter-disciplinary environment with clinicians, econometricians, statisticians, and data scientists · Lead statistical analysis
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following qualifications and experiences: Experience with developing or applying ecosystem models (e.g., SWAT-Carbon, CLM, EPIC, DNDC, and DayCent) Experience with analysis of geospatial data and time series
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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 activities. Brief
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
cardiovascular data sources (e.g., MUSE ECG, telemetry, cardiac imaging) * Working knowledge of research infrastructure such as Epic, i2b2, OMOP, or REDCap * Experience building reproducible data pipelines
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skills in statistical software (e.g. R, Stata, Python) and working knowledge in SQL Excellent written and oral communication skills Strong record of distinguished scholarly achievement, including written
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contributions to the development of the Time-of-Flight system of the EPiC Detector for the Electron-Ion Collider, including leadership of multi-institutional efforts to develop prototype assemblies. Performing
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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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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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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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readout strategies. Specification and characterization of analog and digital electronic readout schemes. Making leading contributions to the development of the Time-of-Flight system of the EPiC Detector