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candidate will collaborate with investigators within and outside Duke University. The objectives of the projects are: to identify and validate surrogate endpoints of overall survival using data from cancer
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with investigators within and outside Duke University. The objectives of the projects are: to identify and validate surrogate endpoints of overall survival using data from cancer clinical trials in
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associate will also provide leadership in coordinating different projects and advising more junior lab members. The current and prior work of the lab include deep learning algorithms for detection
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theory, multi-objective optimization and machine learning. The specific project aims to understand the multiscale interactions shaping human gut bacteria and human gut pathogens. The project will combine
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. The postdoctoral fellow, under the mentorship of Dr. Sheng Luo (https://scholars.duke.edu/person/sheng.luo ), is required to work on at least one of these objectives. The application areas include neurological
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the umbrella of the public sector innovation initiative at Duke University. Solid background in programming (e.g. Python) is required. The goal is to find a solutions to consider materials infrastructures in
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approaches to understand the interconnections between nutrition, health, food systems, and society. Our lab has pioneered genomics techniques that objectively track dietary intake across hundreds of plant and
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. Your primary focus will be using functional genomics to decipher mechanisms of viral gene delivery to mammalian cells, and then using those insights to discover and develop new delivery tools that take
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neurological disorders through the development of new computational approaches for 3D movement analysis. Our goal is to probe the neural bases of natural behaviors while also enabling more objective and
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investigating cancer prevention, from primary to tertiary prevention and cancer health outcomes. Across this spectrum, we investigate head and neck cancer prevention through risk mitigation, early detection