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and revision Educational Requirements: Work requires a PhD (bio)statistics, econometrics, data science, or related field. Experience/Skills Required: A background in commonly used programming
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responses. Qualifications: A doctoral degree in a relevant field is required, preferably a quantitative field such as epidemiology, bioinformatics, statistics, computer science or engineering. The ideal
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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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, often means that many initiatives fail to recognize and integrate the rights, diversity, and impacts on affected groups into coastal initiative design and implementation. To develop evidence-informed, and
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statistics • Experience collaborating with organizations outside academia (industry, government, or NGOs) Professionally, the successful candidate should demonstrate: • Ability to work collaboratively in
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of heterogeneous data Responsibilities Design, implement, and evaluate new AI/ML methods for mental health prediction. Develop and test models that address uncertainty, fairness, and robustness to real-world