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scientists (graduate students and technicians) · Flexing one’s intellectual muscles to think out-of-the box for this difficult-to-cure cancer Required Qualifications at this Level · PhD (or doctoral degree
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collaboratively, and a compelling explanation of how humanistic methods will be used in the completion of the year-long project. Candidates are expected to hold a PhD in a humanistic field at the time of
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will develop novel machine learning and artificial intelligence (ML/AI) methods for genomics data, especially: large-scale single-cell genomics data, high-definition spatial genomics, digital pathology
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knowledge to real-world circumstances. Candidates must have a PhD, J.D., or other terminal degree in their academic discipline to be able to teach a graduate-level course. Candidates with an MA plus 20 years
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(e.g. ecological theory and mathematical modeling, hierarchical statistical modeling, machine learning, remote sensing, geospatial statistics) • Demonstrated ability to conduct independent research and
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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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computational social science, including data capture, cleaning, analysis, machine learning, NLP, and database administration. OR equivalent combination of relevant education and experience. Preferred
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a PhD, J.D. or other terminal degree in their academic discipline to be able to teach a graduate-level course. Candidates with an MA plus 20 years of relevant experience will also be considered
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for genomics (e.g., generative models, transformers, agentic workflows) and/or statistical learning (e.g., network & spatiotemporal modeling, functional/longitudinal data, time-series). Analyze single-cell
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. Occupational Summary This is an opportunity to join a laboratory led by Dr. Jason Fan, MD, PhD, studying retinal and vitreous biology at the Duke Eye Center. We are looking for an individual excited about