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addressing evolutionary medicine and human behavior. This is a calendar year position. Candidates with experience in quantitative, laboratory, or field-based methods and/or theoretical expertise in
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Center for Regulatory Science, the Center of Excellence for Rapid Surveillance of Tobacco, the Tobacco Dependence Program, a Tobacco Industry Marketing Program, and a Tobacco Control Law & Policy Resource
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inference methods in these data, assemble and summarize relevant literature, and will be encouraged to develop their own independent research program in maternal and child health and/or housing and
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, PETS has developed into a major research group, recruiting numerous new core, part-time, and adjunct faculty, and an experienced team of highly trained administrative and analytic staff. The current PETS
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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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discipline expertise and computational areas, such as data science, artificial intelligence (AI), machine learning (ML), generative AI and other technology innovations. Key details of this position include
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discipline expertise and computational areas, such as data science, artificial intelligence (AI), machine learning (ML), generative AI and other technology innovations. Key details of this position include
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- Regular Salaried Payroll Designation PeopleSoft Seniority Unit Terms of Appointment Staff - 12 month Position Pension Eligibility ABP Qualifications Minimum Education and Experience A PhD degree in Computer
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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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Internal Number: 260781 Minimum Education and Experience: Candidate must have a Ph.D. degree in an area relevant to climatology, geoscience, climate change, natural hazards, impact analysis, and/or numerical