50 postdoc-in-thermal-network-of-the-physical-building Postdoctoral positions at Duke University
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sponsor the individual. The term of the appointment is limited (see Section 5 of the Postdoc Policy for length of appointment). The appointment involves substantially full-time research or scholarship and
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sponsor the individual. The term of the appointment is limited (see Section 5 of the Postdoc Policy for length of appointment). The appointment involves substantially full-time research or scholarship and
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Section 5 of the Postdoc Policy for length of appointment). The appointment involves substantially full-time research or scholarship and may include teaching responsibilities. The appointment is generally
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contribute to either or both of these research directions: Expanding a major initiative to analyze global dietary patterns through DNA sequencing of biospecimens, building on our lab's established
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that the candidate, if eligible, would apply for a supplement on existing NIH grants. Additionally, there will be opportunities and an expectation for qualified postdocs to apply for a K99/R00, a K01, or other
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of the Postdoc Policy for length of appointment). The appointment involves substantially full-time research or scholarship, and may include teaching responsibilities. The appointment is generally preparatory for a
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of the appointment is limited (see Section 5 of the Postdoc Policy for length of appointment). 5. The appointment involves substantially full-time research or scholarship, and may include teaching responsibilities
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well as manuscript and abstract preparation. Work Performed DEFINITION: The term of the appointment is limited (see Section 5 of the Postdoc Policy for length of appointment). The appointment involves full-time
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the Interpretable Machine Learning Lab (https://users.cs.duke.edu/~cynthia/home.html ) for a scientific developer to work in collaboration with other researchers on machine learning tools that help humans make better
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DESCRIPTION Duke University and North Carolina State University (NC State) invite applications for a full-time Postdoc Associate to conduct research on causal inference and analytic methods for data integration