42 software-defined-network-postdoc Postdoctoral positions at Duke University in United States
Sort by
Refine Your Search
-
application and email those materials to Meghann Koffi at meghann.koffi@duke.edu to be uploaded manually. Questions about the position can be emailed to phia.salter@duke.edu (please use “SPARCL Postdoc Inquiry
-
application to medical imaging (e.g., MRI) · Experience with MRI data analysis, network science, graph theory, topological analysis, or related computational approaches, especially in Alzheimer’s
-
guiding postdocs to high-impact publications, prestigious fellowships, and independent academic careers. A supportive environment that fosters the development of independent research skills. Ample
-
of physical activity on energy expenditure, energy balance, and health outcomes. These two positions are: Non-Human Primate Activity & Physiology: This postdoc will work as part of a team investigating social
-
Program, the Nancy Grace Roman Space Telescope, the Rubin Observatory LSST, and the Simons Observatory. The Duke Cosmology group currently consists of about ten PhD students and seven postdocs or research
-
, software, copyrightable and pote ntiallypatentable discoveries derivedfrom the PostdoctoralAppointee'sre search.Collegial conduct towards members of the research group and other s asdescribed in the Duke
-
guidelines for the Postdoctoral Appointee-mentor relationship. Prompt disclosure to the mentor regarding the possession and desire to distribute materials, reagents, software, copyrightable and potentially
-
Appointee-mentor relationship Prompt disclosure to the mentor regarding the possession and desire to distribute materials, reagents, software, copyrightable and potentially patentable discoveries derived from
-
interest to analyze genomics data and interpret biomedicine from data; experience or interest in cancer genomics, tumor microenvironment, single-cell data, spatial omics, immunology, gene regulatory networks
-
microbial community behaviors. We seek to understand and engineer the spatiotemporal behaviors of biological networks using tools from systems and synthetic biology. A major goal is to design novel strategies