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for projects examining questions in cardiovascular disease using extremely large data sets comprised of routinely-collected clinical data · Developing and maintaining requirements for access to Truveta Data and
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inference and large-scale data sets. - Experience working in interdisciplinary or applied research settings involving policy, planning, or external partners. PROGRAM DETAILS & BENEFITS: This is a full-time
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international and regional leadership in biostatistics, genomics, biomedical informatics, artificial intelligence and health data science. We are recruiting a creative, rigorous Postdoctoral Research Scientist
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interventions and “nudges” in collaboration with external partners (e.g., companies, nonprofits, policy organizations) • Using advanced data analysis methods to extract interpretable patterns from large, messy
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contributions to open-source scientific software projects Desired Qualifications: ● Experience working with large survey data (e.g., LSST, DES, HSC, Euclid, Roman) ● Knowledge of image simulation frameworks and
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, including development of new computational tools for processing large-scale biospecimen data Creation of novel machine learning frameworks for automated scientific analysis and discovery Design and
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at Duke University. The position is ideally suited to researchers with interests in applied coastal ecology. There is room for independence in addition to a large focus on seagrass restoration innovation