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research agenda using advanced quantitative methods—such as machine learning, computational modeling, big-data analytics, and wearable technologies—to study tourism, hospitality, and/or human performance
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research agenda using advanced quantitative methods—such as machine learning, computational modeling, big-data analytics, and wearable technologies—to study tourism, hospitality, and/or human performance
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International for many years. For additional information on life in Indy: https://faculty.medicine.iu.edu/relocation About the IUSM: IUSM is committed to being a welcoming campus community and we seek candidates
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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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phenotypic data across a number of large, genetically-informed longitudinal study samples with the goal of characterizing the longitudinal interplay between impulsive personality traits and alcohol involvement
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neural and behavioral mechanisms underlying response to such treatments, are encouraged to apply. The fellow will actively participate in implementation, data analysis, and dissemination of findings
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technology, and bioinformatics. Indiana is home to large healthcare exchanges, including Indiana Health Information Exchange (IHIE) and Michiana Health Info Network [MHIN], as well as multiple healthcare
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animal facilities, chemical biology and others), and access to a large cancer tissue and data repository. A competitive salary and start-up package will be offered, commensurate with experience. Indiana
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to large healthcare exchanges, including Indiana Health Information Exchange (IHIE) and Michiana Health Info Network [MHIN], as well as multiple healthcare systems within Indiana. BMEI enjoys close
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systems; longitudinal health data integration; genomic and multi-omics data analysis; AI and machine learning for precision diagnostics; predictive modeling of treatment outcomes; biomedical big data