61 phd-in-mathematical-modelling-population Postdoctoral positions at Duke University
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pathways and mechanisms underlying autoimmunity from a lncRNA and epigenetic gene regulation perspective. We utilize biochemical assays, tissue culture, mouse transplantation & disease modeling experiments
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basic research and animal models, preferably rodents. The ideal candidate will have a strong background and experience in the field of neuroscience and behavior in rodent models, such as social behavior
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. Compliance with all applicable University and departmental policies and procedures. Required Qualifications at this Level Education/Training The Postdoctoral Appointee holds a PhD or equivalent doctorate (e.g
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. TERM: 1 year, with the possibility of extension based on performance and funding. QUALIFICATIONS: Applicants should hold a PhD in Political Science, Sociology, Human Geography, Anthropology, or related
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Surgery & Communication Sciences invites applications for a Postdoctoral Research Associate in cancer epidemiology. Duke TORCHE is a team-based, transdisciplinary lab that uses population lens in
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. Compliance with all applicable University and departmental policies and procedures. Education The Postdoctoral Appointee holds a PhD or equivalent doctorate (e.g. ScD, MD, DVM). Candidates with non-US degrees
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-analysis project, Bayesian background with experience in hierarchical modelling and mixed effect models is preferred. The second project, knowledge in survival analysis and machine learning is desired
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research procedures and techniques. Minimum Education/Training Job Requirements: The Postdoctoral Appointee holds a PhD or equivalent doctorate (e.g. ScD, MD, DVM).Candidates with non-US degrees may be
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· Possess the knowledge of basic research integrity, values of ownership of a research project, and follow timelines to achieve deliverables Requirements: · MD, MBBS, PhD (with clinical research experience
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investigators to extract relevant data from existing clinical trials, extensive observational studies, or population-based databases from multiple rare and common disease areas, including Alzheimer's, brain