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after stroke and use of high-risk medicines · Integrated health and aged care · Rehabilitation for older people The PhD will provide the candidate with skills in epidemiology, big data
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leverages big data to explore the universe, alongside cutting-edge developments in data science using artificial intelligence and machine learning. At the same time, research in the area of Science and
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underserved populations. Research skills and experiences will include utilizing mixed methods research, community engagement, qualitative, quantitative, and big data collection and analysis. This
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, and will pursue independent research to advance our understanding of the dynamic universe using multi-messenger observations, theory, big-data analysis and/or instrumentation. Multi-RAPTOR faculty
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Center (NGI). The successful candidate will be involved in projects to perform big-data research, bundling genetics, multi-omics, biomarker, clinical, and histopathological data, to harness the full
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). The successful candidate will be involved in projects to perform big-data research, bundling genetics, multi-omics, biomarker, clinical, and histopathological data, to harness the full range of
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big data resources that are both broad (large n) and deep (multiple levels of data within individuals) and span multiple levels of analysis (e.g., early longitudinal clinical behavioral development
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and rigor to drive their own research in the broad and multi-disciplinary areas of artificial intelligence machine learning big data and data analytics software and security mobility and autonomy The
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Office of Postdoctoral Affairs. The FY27 minimum is $79, 056. Big Data Scientist Training Enhancement Program (BD-STEP) at VA Palo Alto Health Care System Competitively selected Stanford postdoctoral
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with cover letters should be sent via the Isaacson, Miller website: https://www.imsearch.com/open-searches/big-ten-academic-alliance/president John Muckle, Partner Damla Williams, Senior Associate