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needs of cancer patients and their families. This program is a division of the Duke Pain Prevention and Treatment Research Program in the Department of Psychiatry and Behavioral Sciences, and part of
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approaches, computational biology, and molecular genetics to achieve base-pair resolution mapping of chromatin landscapes. As a postdoctoral researcher, you will design and conduct independent and
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healthcare. Qualifications Required: PhD (or equivalent) in computer science, statistics, biostatistics, electrical/biomedical engineering, or related quantitative field. Strong background in machine learning
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the individual's research skills for his/her primary benefit. This postdoctoral appointment is part of the Duke University Aging Center’s NIA-funded T32 Postdoctoral Research Training Program. This
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may include teaching responsibilities. The appointment is generally preparatory for a full time academic or research career. The appointment is not part of a clinical training program, unless research
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responses. Qualifications: A doctoral degree in a relevant field is required, preferably a quantitative field such as epidemiology, bioinformatics, statistics, computer science or engineering. The ideal
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genomics, metabolomics, or microbiome analysis Computer science, particularly machine learning, artificial intelligence, data science, or computational biology Mathematics or statistics, with experience in
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biology. This NIH-funded position is available to study the role of nuclear pore proteins in the regulation of chromatin architecture during neuronal differentiation. The successful candidate will have a
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. • Collaborate with mathematical modelers and experimentalists in the NIH Center to iteratively refine learned models. Qualifications: • Ph.D. in applied mathematics, computational science, statistics, machine
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. Minimum Requirements: PhD or equivalent doctorate (e.g., ScD, MD, DVM) in psychology, psychiatry, neuroscience, biostatistics, bioinformatics, computer science, or a related field. Research background in