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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
Education and Experience Requirements A doctoral degree (PhD) in Epidemiology, Human Genetics, Biostatistics, Bioinformatics or related field or a MD, DDS, or DVM degree combined with training in human
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
, epidemiology, biostatistics, bioinformatics, human biology, metabolism, or related discipline with strong quantitative training. Required Qualifications, Competencies, and Experience Experience with large
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at the Department of Medicine Tulane School of Medicine is seeking talented and motivated applicants with training and experience in epidemiology, population health, biostatistics, bioinformatics, or the equivalent
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. in epidemiology, biostatistics, bioinformatics, or a related quantitative field, with previous experience in analyzing large-scale omics data and strong programming skills in R / Bioconductor or Python
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field such as statistics, biostatistics, bioinformatics, computational biology, human genetics, computer science, or a closely related area is required. Experience: Demonstrated experience in strong
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information from clinical studies and report to ClinicalTrials.gov. - If required, participate in biostatistics/ bioinformatics educational activities related to cancer research for investigators, fellows
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Alto Health Care System (VAPAHCS). We are seeking a motivated postdoctoral fellow with background in biostatistics, bioinformatics, or molecular epidemiology. A major emphasis of our research program is
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: Applicants must meet minimum qualifications at the time of hire. Doctorate degree in a relevant field (computer science, information systems, information science, biostatistics, bioinformatics) Record of first
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appointments in the Departments of Biostatistics & Bioinformatics and Statistical Science and is a faculty affiliate of Duke AI Health. The appointment is for 2 years, starting October 1, 2023, or a later date
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metabolomics analysis pipelines. key words metabolomics; mass spectrometry; neural networks; algorithms; machine learning; cheminformatics; biostatistics; bioinformatics; big data Eligibility Citizenship: Open