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                develop novel computational approaches. Develop mathematical descriptions for the acquired data and work with our theorists collaborators to implement new theories. Integrate with the rest of the lab and 
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                , plan, and organize the annual Black Feminist Theory Summer Institute (BFTSI) at Duke University, and 2. to build and implement enduring networks and scholarly programming to keep BFTSI cohorts connected 
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                the fundamental mechanisms shaping plant communities and their response to climate change. Qualifications: • PhD in Ecology or a related field • Strong quantitative background (e.g. ecological theory 
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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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                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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                post-doctoral scientist to work on the transmission of malaria parasites between hosts. The candidate will join an existing team at Duke, Johns Hopkins, Moi University, KEMRI-Welcome Trust Research 
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                : This postdoc will work as part of a team investigating the impacts of climate, physical activity, and market integration on water turnover, energy expenditure, and health metrics among the Daasanach community in 
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                archaeal transcription regulatory networks A postdoctoral position is available in the Schmid lab, Duke University Biology Department. The research objective for this position is to investigate the function 
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                . Duke University’s Department of Obstetrics and Gynecology has an opening as a Postdoctoral Associate in Dr. Danny Schust’s lab supporting research on preeclampsia and requires an individual to run 
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                will contribute to developing and evaluating state-of-the-art methods for predicting mental health outcomes from multi-modal clinical and digital health data. This position offers the opportunity to work