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University is seeking a postdoctoral scholar to support and lead innovative research at the intersection of rheumatology, pain science, and data science. The successful candidate will work on a portfolio of
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medication use Applying frameworks such as the Andersen Behavioral Model (ABM) and 4Ms of Geriatrics Conducting advanced data analysis and predictive modeling Engaging patients, caregivers, and health system
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Science, Environmental Science, Data Science, or other related fields Strong capabilities and demonstrated experience working with large climate datasets, high performance computing, and machine learning
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genomic analyses on large case-control cohorts to identify risk and response associations for diseases of interest. Performs integrative analyses of other molecular and omics data, such as gene expression
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 11 days ago
and/or issues using discretion; experience with tritium transport modelling, hydrogen in materials, or fusion blanket concepts; familiarity with data assimilation, uncertainty quantification, or large
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position in big data analysis, substance use, neurocognition, and tobacco regulatory science. The position entails research on (1) analysis of big data using advanced statistical methods, (2) assessment
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, developing research proposals, and helping with graduate student mentoring and group organization. Opportunties to Contribute Analyze and interpret data to support collaborative discussions and decision-making
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. The successful candidate will join the Experimental High Energy Physics group led by Profs. Brinkerhoff, Dittmann, Hatakeyama, and Wilson to participate in the Compact Muon Solenoid (CMS) experiment at the Large
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based on the selected hire’s education and experience. Special Instructions: A cover letter, resume, and contact information for three professional references (to include at least one previous supervisor
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, Behavior, and Information research cluster is a group of 5 research faculty whose research focuses on gaining psychologically-grounded insights from large-scale naturally occurring and experimentally