115 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "Univ" "Univ" "Univ" research jobs at Duke University
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performance on large-scale electronic health records. The fellow prepares manuscripts for high-impact journals and contributes data to federal grant proposals. Job Responsibilities: Applicants must possess a
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to identify biological signatures of sepsis and other acute critical conditions. Daily operations involve the processing of transcriptomic and genomic data integrated with longitudinal clinical variables
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exceptional opportunity for early-career scientist with training in nutrition or biostatistics (with an interest in nutrition) to develop advance skills and experience in clinical trial data analyses, clinical
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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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of genomic, single-cell, and/or other high-dimensional biological datasets. Integrate multi-omics data (e.g., genomics, transcriptomics, proteomics) to identify novel biological insights relevant to human
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information, national origin, race, religion, (including pregnancy and pregnancy related conditions), sexual orientation, or military status. Duke aspires to create a community built on collaboration
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committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion
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into clinically efficacious therapies in patients. Maintain accurate laboratory documentation of experiments, including raw experimental data and laboratory notebooks. Monitor progress of research projects and
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regional leadership in biostatistics, genomics, biomedical informatics, artificial intelligence and health data science. The Postdoctoral Associate will conduct research in statistical machine learning and
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Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin