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this requirement. Preferred Qualifications PhD in quantitative public health field (e.g., health services, epidemiology or biostatistics) preferred. Candidates from the social sciences with strong
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, biostatistics, and reproductive health. A particular focus of the fellowship will be the application of mixtures modeling approaches to characterize the reproductive effects of correlated and co
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Term: 2 years Appointment Start Date: October 1, 2026 Group or Departmental Website: https://profiles.stanford.edu/marc-lipsitch (link is external) How to Submit Application Materials: email Marc
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Inference (PCI) lab at UCLA. Qualifications Candidates should possess a PhD, preferably in epidemiology, biostatistics, and/or health data sciences. Candidates with research experience analyzing longitudinal
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workshops or national conferences, purchase of education materials). Minimum Requirements: PhD degree in computer science, statistics, biostatistics, biomedical informatics or related fields OR a PhD degree
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Memorial Sloan Kettering Cancer Center | New York City, New York | United States | about 12 hours ago
biostatistics, statistics, computer science, computational biology, or related quantitative discipline. Have published a 1st author paper from PhD dissertation or postdoctoral research Core Skills
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limited to 5 years, including all previous postdoctoral training. More info for postdocs at Stanford can be found at https://postdocs.stanford.edu/. Appointment Start Date: Flexible but preference is for a
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Multiple Research-Intensive Associate/Full Professor Tenure System Positions & an 1855 Professorship
Discipline Health Science Job Type Faculty Member Employment - Hours Full time Duration Permanent Qualification PhD Sector Academia Apply on website (This will open in a new window from which you will be
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insurance, retirement plans, and paid time off. To access this tool and learn more about the total value of your benefits, please click on the following link: https://resources.uta.edu/hr/services/records
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insurance, retirement plans, and paid time off. To access this tool and learn more about the total value of your benefits, please click on the following link: https://resources.uta.edu/hr/services/records