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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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/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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of a PhD in epidemiology or public health related field Demonstrated success in implementing innovative community-based interventions. Track record of publications in peer-reviewed journals, preferably
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, undergraduate, graduate, and other post-doctoral researchers in the in lab. Candidates must have obtained their PhD in a related field prior to the start date. Responsibilities for both positions will include
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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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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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healthcare. Qualifications Required: PhD (or equivalent) in computer science, statistics, biostatistics, electrical/biomedical engineering, or related quantitative field. Strong background in machine learning
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Performed Research Development (70%) - Designing robust, rigorous, and reproducible experiments - Carefully documenting labwork and results using electronic lab notebooks - Executing experimental designs Data