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data and health record information, to develop predictive models for drug response. Furthermore, we work on creating new treatment stratification methods to personalize treatment for individual patients
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supervisor. Supervision Given None. Required Education PhD in Mexican American Studies or a related field from an accredited University. Preferred Education None. Licenses/Certifications None. Required
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particular sequential, multiple assignment, and randomized trial design. You will have the opportunity to mentor the PhD students on the team. Experience in any of the following areas may be useful: SMART
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to produce neoantigen vaccines for patients at medical centers nationally as a primary goal. Your qualifications should include: · PhD degree in an appropriate discipline such as cellular or tumor
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interested in applicants who use advanced quantitative methods, including computational modeling, machine learning, and/or analyzing structural and functional neuroimaging data. Specific activities may include
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variety of interventions in development economics (e.g., cash transfer interventions, training programs, etc.) Role of the predoctoral fellow: through statistical software and the (meta-)analysis
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based on the research results. Other duties as assigned. Required Qualifications PhD earned within the last 3 years in Operations Research and Industrial Engineering or a closely related discipline, with
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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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scalable systems of design and analytic planning methods to make tangible and systemic impact, and to explore the risks and potentials of emerging technological capabilities such artificial intelligence
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organizational and writing skills Ability to work well with college students; to work as team member as well as independently Knowledge of Excel and willingness to learn new software, including Survey Monkey