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scientific methods, will have opportunities to collect data and conduct statistical analysis of large-scale data. Qualifications Basic qualifications • PhD or ScD in Health/Public Policy, Public Health
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analysis of complex biological data, including big omics data. Dr. Floyd is Co-Director of the UW Cardiovascular Health Research Unit (CHRU) (https://chru.washington.edu/ ), where he leads a broad portfolio
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
, or translational breast cancer research. The successful candidate will lead research efforts using rich molecular and epidemiologic data from the Carolina Breast Cancer Study (CBCS), a large, diverse population
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exotic compact objects. It currently has two faculty members (Huaike Guo and Andrew L. Miller), five postdocs, and five PhD students. The group develops and applies robust data-analysis methods
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. We are currently analyzing brain, CSF and blood, multi-omic data (transcriptomics, proteomics and metabolomics), from a large collection of well-characterized samples to identify novel biomarkers and
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approaches, and performing coarse-graining to obtain effective models at various scales. Special Instructions Contact Information Jason Eldridge https://www.physics.harvard.edu/ Harvard Physics Department 17
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The Faculty of Engineering and Health Sciences provides education and conducts research in engineering, health and information design, with a clear focus on addressing societal challenges. Our
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requiring the fellow to be in person at partner sites and on campus (e.g., data collection, school-based consultation, grant convenings). This project has three primary aims: Recruit, retain, and mentor
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modern machine learning approaches with large-scale biological data to automate genome curation by detecting, interpreting, and correcting structural errors, reducing manual effort from weeks to minutes
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. The post holder will have the opportunity to be involved in cutting-edge bespoke neuroimaging technology [3T/7TfMRI-EEG fusion] and advanced data analytics to uncover and predict patterns in large multimodal