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Development. Prior to writing an application, applicants should contact at least two ITEHP faculty members with whom they propose to work to discuss a possible research project and how the project will
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differentiation and melanoma and multiple myeloma biology utilizing cultured cells and animal models of skin diseases. Work Performed • Development of new and implementation and modification of existing
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mechanisms underlying risk for addictive disorders—with a primary focus on tobacco dependence and relapse—and translating this information to develop more efficacious interventions. This position is supported
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to other scientific projects within the lab as well as your own. Write fellowship and/or grant applications as appropriate for the development of your career Present research findings at local and national
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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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. Postdoctoral Associate in Developing Methods to Improve Efficiency and Robustness of Clinical Trials Using Historical Controls and Real-World Data DESCRIPTION Duke University and North Carolina State University
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://sites.duke.edu/yanglab/). Be part of a dynamic, interdisciplinary team working to unravel the unknown functions of membrane ion channels and lipid transporters in human health. Develop novel therapeutic approaches
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the development and progression of both high- and low-grade gliomas through independent or collaborative research projects. Key Responsibilities The ideal candidate will have proven experience in generating and
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on performance and funding. If interested, please contact Erika Juhlin (erika.juhlin@duke.edu). Provide scientific input for research activities such as proposal and manuscript development, project management
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will develop novel statistical and machine learning methods for any of the following: multi-omics data (such as bulk and large-scale single-cell RNA sequencing data, spatial transcriptomics, bulk and