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/spatial multi-omics and epigenomic data in applications spanning development, cancer, neurodegeneration, and immunology. Publish in top venues, present at major conferences, and contribute to open-source
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assembled during embryonic development, how this is disrupted in neurodevelopmental disease and co-opted during brain evolution. We employ a multifaceted strategy to bridge developmental neurobiology, RNA
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) Experimental investigation and computational model simulation of laser-induced bubble dynamics and material damage assessment 3) Developing AI and machine learning models for robot-assisted laser surgery and
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will contribute to developing and evaluating state-of-the-art methods for predicting mental health outcomes from multi-modal clinical and digital health data. This position offers the opportunity to work
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resistance/relapse following immunotherapy such as CAR T and developing novel agents for protecting hematopoietic stem cells following radiation exposure. The overall duties and responsibilities are: 1
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candidate will also develop and implement computational methods to interpret complex data and contribute to the preparation of grant proposals, progress reports, and peer-reviewed publications. In
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development and eager to contribute to precision cosmology in the era of overlapping, multi-wavelength surveys. If this is you, please make sure to include links to your open-source software contributions (e.g
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will develop and apply population-level, natural history models of uterine cancer. The fellow will join established, collaborative teams at Duke University. This position is ideal for a highly skilled
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History Department and assist in the development of collaborative projects that link History and CDS and draw on the talents of Duke students. The successful applicant will have the chance to interact with
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repository, organizing PECAHN meetings, and developing and assisting with cross-site research projects. Both positions will require self-direction and the ability to work effectively with other team members