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equity, with the goal of using advanced quantitative methods to identify how housing policy can be used to address health disparities. Under direction of the PIs, the postdoc will lead data management and
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learning. Candidates with experience in method development and high-performance computing are especially encouraged to apply. A Ph.D. in chemistry, physics, computer science, or a related field is required
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candidate would work on projects in methods development for coupled electron-nuclear dynamics based on the exact factorization approach and time-dependent density functional theory. Projects involve theory
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candidate would work on projects in methods development for coupled electron-nuclear dynamics based on the exact factorization approach and time-dependent density functional theory. Projects involve theory
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. The successful applicant will work in the areas of causal inference and statistical learning with high-dimensional observational data, including development of statistical and computational methods, and
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. The successful applicant will work in the areas of causal inference and statistical learning with high-dimensional observational data, including development of statistical and computational methods, and
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environmental and pharmacoepidemiological research methods and programming skills for large relational databases. This is a two year position that will be supported by an active NIH funding. The successful
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Associate who specializes in quantitative research methods and one Associate with qualitative expertise. The Associate position will be awarded for a one-year period beginning in September 2026; there is a
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. The successful applicant will work in the areas of causal inference and statistical learning with high-dimensional observational data, including development of statistical and computational methods, and
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. This role offers an exciting opportunity to work on developing and validating models for wearable sensors aimed at improving human movement, rehabilitation, and fitness engagement. An important component of