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responsibilities: Data Strategy and Research Infrastructure: Oversees the design and high-level integration of the Rhodes/GLL digital ecosystem, ensuring the platform can host "big data" and interact with global
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) Large-scale research computing platforms such as Globus, HPC environments, SLURM, GPFS; and 8) Machine Learning Frameworks, including Tensorflow. A hybrid onsite schedule is required. Benefits of Working
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with ability to synthesize large volumes of information. Excellent verbal and written communication skills; excellent interpersonal skills. Computer skills (data management, statistical software packages
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, and biomedical data science Develop and evaluate new methods for causal and predictive inference, and decision-making using large-scale and/or multi-source data Collaborate with faculty and research
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to support a diverse and inclusive campus community. Must be able to work with large volumes of work, multiple project deadlines, and diverse personalities. Benefits of Working at Brown: Information
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editing MARC records, including large-scale metadata updates and quality control for electronic resources. Familiarity with authentication and access infrastructure (e.g., EZproxy, Shibboleth/SAML
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policy priorities. These would include large scale data analyses and economic methods to inform debates on health funding, efficiency, and equity. Applicants engaged in research related to payment reform
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Job Description: Position Purpose: The Senior Data Scientist gathers, processes, and analyzes large sets of structured and unstructured data. The data scientist’s role combines computer science
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-Main-Street/Senior-Data-Scientist_REQ206665 Job Description: Position Purpose: The Senior Data Scientist gathers, processes, and analyzes large sets of structured and unstructured data. The data
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the presence of incomplete data sets Highly proficient in major statistical software package, e.g., Stata, R, SAS, Python, Tableau, Power BI Experience analyzing and managing large complex data sets, including