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agenda, we seek applicants with experience in survey design and computational methods, and working with complex large-scale data. Successful candidates will have completed a Ph.D. in a relevant discipline
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working in large teams with diverse disciplinary, sectoral, and cultural backgrounds; o For those experts in qualitative data, qualitative data experience and analytical skills are considered an asset. Duke
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in computational social science or data science (broadly defined). This individual will help design, execute, and analyze a series of field experiments on a platform created by the Polarization Lab
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with our co-PI at UCLA. Responsibilities include study design, supervising and leading data collection, coding, and analysis, and writing of manuscripts for publication, as well as grant preparation
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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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” in collaboration with external partners (e.g., companies, nonprofits, policy organizations) • Using advanced data analysis methods to extract interpretable patterns from large, messy, real-world
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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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of the research project is: Increases in the size, frequency, and severity of wildfires are driving large-scale conversion of forests to shrublands across the western U.S. Despite the scale of this issue and its
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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