72 web-programmer-developer "https:" "https:" "https:" "https:" "https:" Postdoctoral research jobs at Duke University
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must have obtained their PhD in a related field prior to the start date. Responsibilities for both positions will include collaborating on the development of research protocols, data collection and
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. Occupational Summary Responsibilities will include developing next-generation genome engineering technologies for gene and cell therapy applications as well as functional genomics. In particular, you will focus
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-throughput genomic screening approaches, primary cell culture systems, and animal models of influenza disease. For more information visit https://mgm.duke.edu/faculty-and-research/primary-faculty/nicholas
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Occupational Summary: The Duke Quantum Center is seeking a Postdoctoral Researcher to develop a research program in integrated sensing and communication for 6G wireless in Dr. Robert Calderbank’s research group
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the Duke Cancer Patient Support Program within the Duke Cancer Supportive Care and Survivorship Center. Program faculty have expertise in developing and evaluating interventions focused on emotional
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primary benefit. This postdoctoral appointment is part of the Duke University Aging Center’s NIA-funded T32 Postdoctoral Research Training Program. This multidisciplinary program is focused on developing
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. This position is ideal for a candidate who is passionate about scientific software development and eager to contribute to precision cosmology in the era of overlapping, multi-wavelength surveys. If this is you
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Health Sciences Division and the GEMINI Center members, support grant proposal development and engage with research activities in the department. Similarly, there may be some travel opportunities in
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multidisciplinary program is focused on developing the next generation of researchers in the field of aging, and competitive candidates will demonstrate a strong commitment to a career in aging research
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Systems Modeling. This position focuses on leveraging and developing new equation learning methods, such as Physics-Informed Neural Networks (PINNs), Biologically Informed Neural Networks (BINNs), and