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Field
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, computer science, bioinformatics, computational biology or biostatistics Proven expertise in machine learning applied to molecular or other high-dimensional data Experience working with IBD or other immune-mediated
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/2026 Qualifications Minimum Education and Experience A doctoral degree in epidemiology, social and behavioral health sciences, biostatistics, or a related field. A record of peer-reviewed publications
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job-duties as assigned. Minimum Qualifications MD or Ph.D. in Basic Science, Health Science, or a related field. No experience required. Preferred Qualifications PhD in Epidemiology, Biostatistics, Data
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to collaborate with other researchers, 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
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doctoral degree in Epidemiology, Biostatistics, or a closely related quantitative field Demonstrate strong computational and statistical training, including experience with complex data analysis Have
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genetics, computational biology, bioinformatics, epidemiology, biostatistics, computer science, or a closely related quantitative discipline. In addition, the successful candidate will demonstrate
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other researchers, and mentor graduate and undergraduate students, and may also teach one course per year for the Department of Statistics. Education and Experience A Ph.D. in Statistics, Biostatistics
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Qualifications PhD in neuroscience, computer science, biostatistics, psychology, cognitive science, or a related field. Strong experience in neuroimaging data analysis and interpretation. Strong experience with
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degree in pharmacoepidemiology, clinical epidemiology, epidemiology, biostatistics, health outcomes, health services research, real world evidence, or related field. Knowledge in medical device and
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The Duke-NUS Centre for Biomedical Data Science (CBDS) serves as a central hub for Duke-NUS faculty specialising in Biostatistics, Bioinformatics, Systems Biology, Artificial Intelligence (AI), and