54 development-"https:"-"https:"-"https:"-"https:"-"BI" Postdoctoral positions at Duke University
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. The Quantitative Imaging and Analysis Laboratory in the Department of Radiology at Duke University is seeking a Postdoctoral Associate to join our team. In this role, you will work on the development
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development of measurement, evaluation, and analytic strategies to inform policy and systems transformation – 45% Develop conceptual frameworks, logic models, measurement plans, and analytic strategies, drawing
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to understanding the fundamental mechanisms that drive cancer development, treatment response, and therapeutic resistance. By combining cutting-edge molecular biology, functional genomics, and translational research
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on identifying and validating surrogate endpoints for overall survival using data from cancer clinical trials and patient registries, developing prognostic models of clinical outcomes in cancer, and conducting
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-initiated clinical trials for glioblastoma and other primary brain tumors while developing your own mentored research portfolio. You will work alongside leading clinicians, scientists, surgeons, pathologists
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the molecular and cellular mechanisms of vision and retinal disease. This position offers an exciting opportunity to contribute to innovative research focused on the development and maintenance of the light
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collaboration with Department of Medicine and Duke Cancer Institute investigators. You will develop your research skills under faculty mentorship while contributing to collaborative cancer research projects
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access to a rigorous, well-funded, inclusive, and highly collaborative research environment with state-of-the-art core facilities and opportunities to develop independent expertise across multiple
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appointment with expectation of renewal based on performance and funding. Provide scientific input into study design, analytic planning, project management, manuscript development, and collaborative research
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, and large-scale simulation. The successful candidate will contribute to the development of an HIV epidemic simulation that integrates dynamic social and sexual networks, heterogeneous susceptibility and