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?: No. The expected base pay for this position is the Stanford University required minimum for all postdoctoral scholars appointed through the Office of Postdoctoral Affairs. The FY25 minimum is $76,383. Big Data
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Survey (CHIS) is the largest population-based state health survey in the nation and the premier source of credible and comprehensive data on the health and health care needs of California?s large and
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population Use of transdisciplinary research methods (e.g. use of geographical information system and big data) in research with older adults Responsibilities: The successful candidate will be housed in one
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the possibility to be extended to a second-year. Responsibilities: • Use advanced econometric methods to analyze large-scale datasets, including claims data • Produce policy-relevant research, including coauthoring
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. Information and Application Further information on the post and the University is available at http://www.cityu.edu.hk , or from the Human Resources Office, City University of Hong Kong, Tat Chee Avenue
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competitive, commensurate with qualifications and experience. Information and Application Further information on the post and the University is available at http://www.cityu.edu.hk , or from the Human Resources
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11 Mar 2026 Job Information Organisation/Company Institut Supérieur de l'Aéronautique et de l'Espace Research Field Engineering » Electronic engineering Researcher Profile Recognised Researcher (R2
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to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079 Requirements Additional Information Eligibility criteria Relevance and pertinence of the publications, theses and
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) utilizing integrative data analysis to harmonize phenotypic data across a number of large, genetically-informed longitudinal study samples with the goal of characterizing the longitudinal interplay between
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This research focuses on developing and validating Big Data-driven methods