13 phd-sandwitch-in-architecture-and-built-environment PhD positions at Duke University
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develop research. Extraction of Patient Reported Outcome Measures. • Collaboration with the PhDs at the laboratory, division, department, and University. Development of data-sharing agreements and
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, architecture, mechanics, and function. The work will involve generating gene-targeted mouse models and characterizing them through histological, biochemical, and molecular analyses. Successful completion
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also have opportunities for a) multi-site collaborations with scientists across the US, b) strong mentoring and growth in a fast-paced leading edge environment, and c) development of his/her own research
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well as other national and international institutions. At DHVI, our postdoctoral associates work in concert with Duke faculty and staff in an invigorating research training environment. One of our primary
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community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas—an exchange that is best when the rich diversity of our perspectives
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, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status. Duke aspires to create a community built on
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, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation or military status. Duke aspires to create a community built on collaboration, innovation, creativity, and belonging
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pregnancy and pregnancy related conditions), sexual orientation or military status. Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success
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information, national origin, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation or military status. Duke aspires to create a community built on collaboration
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, wearable devices, neuroimaging, and –omi cs data from electronic health record, registry, and research initiative s; and (2) develop and apply novelstatistical models to investigate gen e by environment