70 complex-network "Institute of Computer Science" Postdoctoral positions at Duke University
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Postdoctoral Associate will train under the primary mentorship of Dr. Dana Pasquale within a highly collaborative environment that includes expertise in infectious disease epidemiology, network science
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translational science through computational pathology, biomedical engineering, and clinical research. Working alongside multidisciplinary teams of scientists, clinicians, engineers, and data experts
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HIV prevention and clinical decision support. Minimum Requirements: Ph.D. or equivalent doctorate (e.g. Sc.D., M.D., D.V.M.) Preferred Qualifications: . PhD in one of these fields: Computer Science
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School of Medicine Established in 1930, Duke University School of Medicine is the youngest of the nation's top medical schools. Ranked sixth among medical schools in the nation, the School takes pride in
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passionate about advancing science and improving lives. As a Postdoctoral Associate in the laboratory of Dr. Vadim Arshavsky at the Albert Eye Research Institute , you will join a world-class research
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degree). Strong background in one or more of the following: Computer Vision Machine Learning Artificial Intelligence Computational Behavioral Science Data Science Biomedical Engineering Computational
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, Quantitative Social Science, or a closely related field. Strong understanding of epidemiologic methods, observational study design, cancer outcomes research, population health, and health disparities
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eager to apply advanced epidemiologic and biostatistical methods to complex, multi-level data. The Postdoctoral Associate will train under the primary mentorship of Dr. Tomi Akinyemiju , with
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infectious diseases that impact global health. Basic science discoveries made using a variety of human and pathogen-derived proteins, designed, expressed and purified by a collaborative DHVI team have
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serving the rare and complex testing needs of Duke Health patients by providing timely and accurate results, educating the next generation of laboratorians, scientists and physicians, and researching