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Field
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for the position: A doctoral degree or an equivalent foreign degree Strong competence in, for example, epidemiology, biostatistics, or qualitative methods A strong ability to collaborate with other researchers, a
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Qualifications: PhD (or equivalent) in Biostatistics, Epidemiology, or a closely-related quantitative field (by start date) Strong training in causal inference methods Experience working with large-scale
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, and mentor graduate and undergraduate students, and may also teach one course per year for the Department of Statistics. A Ph.D. in Statistics, Biostatistics, Machine Learning, or a directly related
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Applications are invited for a full-time 3-year Postdoctoral position in Machine Learning and Computational Biology at the Oslo Centre for Biostatistics and Epidemiology (OCBE), Department of Biostatistics
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, biostatistics, epidemiology, bioinformatics, computational biology, nursing, or other health-related fields. 3. Qualified candidates must be eligible to work in the US at the time of hire and for
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the Psychiatric Genomics Consortium Substance Use Disorders Working Group and related research with other faculty in the Departments of Psychiatry, Pediatrics, Biostatistics and Health Data Science, and Medical and
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Statistics, Biostatistics, Computer Science, Data Science, Information Science, or a closely related field (completed by start date). Demonstrated research experience in statistical/mathematical foundations
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
academic year. Minimum Education and Experience Requirements Ph.D. (or foreign equivalent) in statistics, mathematics, biostatistics, bioinformatics, computational biology, or a related field
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resources are readily available, including biorepository and clinical biomarkers labs, biostatistics, applied bioinformatics, proteomics and metabolomics and a variety of brain and body imaging resources (MRI
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University is seeking a highly motivated Post Doctoral Research Fellow to join a dynamic, interdisciplinary team working at the intersection of biostatistics, public health, epidemiology, and biomedical