73 phd-in-architecture-and-built-environment Postdoctoral positions at Duke University
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: Engineering / Biomedical Appl Deadline: none (posted 2025/03/04) Position Description: Apply Position Description The lab of Nimmi Ramanujam, PhD has an immediate position for a postdoctoral research
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. Compliance with all applicable University and departmental policies and procedures. Education The Postdoctoral Appointee holds a PhD or equivalent doctorate (e.g. ScD, MD, DVM). Candidates with non-US degrees
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, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status. Duke aspires to create a community built on collaboration, innovation, creativity, and
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guiding postdocs to high-impact publications, prestigious fellowships, and independent academic careers. A supportive environment that fosters the development of independent research skills. Ample
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advanced techniques in synthetic biology, genetic engineering of human gut bacteria, multi omics and high-throughput anaerobic bacterial culturing. Qualifications include a PhD in biology or engineering. The
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will be expected to work both independently and as part of a team and positively contribute to a highly collaborative environment. Specific projects pertaining to this position include defining and
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to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends onthe robust exchange of ideas—an exchange that is best when the rich diversity of our
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utilize new machine learning methods for 3D behavior tracking and analysis. · Advise PhD students on related projects. Other Work Performed and Expectations · Document progress consistently and
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Appointee holds a PhD or equivalent doctorate (e.g. ScD, MD, DVM). Candidates with non-US degrees may be required to provide proof of degree equivalency.1. A candidate may also be appointed to a postdoctoral
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statistical models to investigate gene by environment interactions and to utilize bioinformatics resources and high-dimensional –omics data to elucidate the biological significance of the statistical analysis