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on cutting-edge research at the intersection of statistical modeling, artificial intelligence, and infectious disease epidemiology. This position focuses on developing and applying statistical, mathematical
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graduates who are considering entering a graduate degree program (Ph.D. / JD) in the near future. The first two fellows have gone on to pursue PhDs at MIT and Harvard, respectively, as well as a JD at
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referring to statistical and system characteristics in the real world contrary to an ideal learing setting. The candidate will contribute to understanding how neural networks extract the most relevant
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, data management, data analysis, and reporting. Experience using statistical/programming tools or packages, such as SPSS, Stata and/or R. Excellent interpersonal skills and proven ability to establish
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for the provision of strategic leadership and vision. Developing and leading a team of academic/research staff and post-graduate researchers (PhDs) to deliver research outputs of outstanding quality. Obtaining
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Qualification Requirements: PhD (or equivalent) in clinical epidemiology, statistics, clinical endocrinology. Strong research experience in endocrinology and diabetes is desirable. Knowledge of biological sample
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Engaging in scientific exchange with collaboration partners of the project Preparing reports, scientific papers, and presentations Job Requirements: PhD in mathematics, physics, computer science, or a
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perception and consumption of online news. Lead the recruitment of participants for experiment sessions. Plan the necessary logistics for the administration of survey experiments and prepare IRB documentation
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Report and Rankings. We have a thriving body of 42 faculty, 9 postdocs, 273 students, and 123 research and administrative staff members and close ties with the Department of Statistics, the Institute
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. This is an excellent opportunity to be part of an interdisciplinary and international research collaboration, spanning health policy, economics, medicine, and public health. Candidates should have a PhD (or