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, data science using EHRs, machine learning, data mining, and natural language processing are preferred. Job Description: Develop large language models and other methods and tools to effectively use
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Experience analyzing and interpreting large-omic datasets. Multi-disciplinary experience in integrating cellular and molecular mechanisms and data with phenotypic, physiological, and psychological data
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astronomy. We develop and operate commercial-quality, cloud-based software application and platform services used by 10s of thousands of researchers to manage their large–and growing–data management
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microbiomes, host transcriptomics, and metabolomics to define OAB phenotypes using samples from large human cohort studies. · Community Engagement and Advocacy: Additional efforts include promoting evidence
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attention to detail, diligence, and ability to do most work independently. The desired skills include being able to review and structure a literature base, deal with large amounts of data in different forms
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will be expected to shape research direction and priorities while actively collaborating with researchers and sustaining your own applied energy portfolio. On a daily basis you will need to align big
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. The Schumacher laboratory in the Department of Biochemistry at the Duke University School of Medicine seeks a Postdoctoral fellow with expertise in Cryo-EM data collection, data processing, generation of cryo-EM
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plans, analysis, and presentation of data as well as other assignments related to scientific development (e.g. writing manuscripts, reviews, and supervising/teaching other fellows). Studies focus
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Experience with clinical trialsExperience with data analysis Experience with RedCAPExperience with large-scale data, such as genomics and transcriptomics dataProgramming experience, preferably in Python or RA
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-on experience with some combination of the following: Programming and conducting computational and statistical analyses on large administrative claims data, electronic health records-based databases, tumor