117 data-"https:" "https:" "https:" "https:" "https:" "University of Minho" research jobs at Duke University
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complex data, and contribute to the preparation of grant proposals, progress reports, and peer-reviewed publications. In addition to the research responsibilities, the Postdoctoral Researcher will actively
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develop computational methods to interpret complex data. In addition to research responsibilities, the postdoctoral researcher will actively engage in group meetings, journal clubs, and departmental
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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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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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/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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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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computational methods for the analysis of genomic, single-cell, and/or other high-dimensional biological datasets. Integrate multi-omics data (e.g., genomics, transcriptomics, proteomics) to identify novel