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, deep learning Computational genomics, network modeling, spatiotemporal/functional data analysis, time-series Strong programming in R and/or Python; best practices in reproducible research Excellent
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and experience: • Strong background in experimental design and/or causal inference (lab, field, or online experiments) • Extensive experience with data analysis (e.g., R, Python, or similar) • A clear
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. quantitative and/or qualitative counterfactual-based approaches, Difference in Difference models, Qualitative Comparative Analysis, Bayesian hierarchical modelling); o Experience working with and synthesizing
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, deep learning, or statistical modeling. Demonstrated experience working with clinical, digital health, or related biomedical data. Proficiency in Python, R, or other scientific programming languages
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its commitment to nurturing the next generation of scientific leaders. Ready to Make a Difference? Apply now and help us build a stronger, smarter, and more connected future. Duke is an Equal
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● Strong background in observational or computational cosmology, large-scale structure, weak lensing or image processing ● Proven experience in scientific programming in Python and/or C++ ● Deep familiarity
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innovation in neuromuscular and respiratory research. Ready to Make a Difference? Ready to Make a Difference? Apply now and help us build a stronger, smarter, and more connected future. Definition: The
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including fieldwork and sampling in different sites through the U.S. and overseas as well as conducting extensive laboratory work that includes experiments and operation of multiple analytical instruments
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different countries. The successful candidate will be adept at crafting data‑driven narratives aligned with project priorities, have a strong record of peer‑reviewed publications, and demonstrate excellent
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about working to increase the participation and success of individuals from different backgrounds and communities. Duke is an Equal Opportunity Employer committed to providing employment opportunity