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with, or an eagerness to learn more about, multiple steps in the data lifecycle, including acquisition, cleaning, processing, analysis, and visualization. Knowledge of basic statistical methods is also
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, including experimental work, data analysis, and model development. 10% effort will support dissemination of research findings, including publications and conference presentations. The remaining 5% effort will
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. Coordinate with divisions at the Burke to ensure proper data input and that reporting needs are met. Create and develop reports, donor profiles, project analysis, graphics, spreadsheets, and other customized
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experience performing data analysis and/or bioinformatics workflows. · Working proficiency in R and Python for data analysis, visualization, and workflow development. · Ability to work in Linux
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, including preparing data, conducting data analysis such as regression, forecasting, optimization, data visualization, and data story telling. This degree prepares students for entry- and mid-level roles in
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applied mathematics and computer science, experimental computing systems, scalable algorithms and systems, artificial intelligence and machine learning, data management, workflow systems, analysis and
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Lecturer in Digital Humanities in the Digital Humanities Institute (DHI), with a particular research focus on the intersection between digital philology and digital editing, text and data analysis, cultural
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, organisation, and analysis of research data, namely through: the mapping and analysis of activist artistic practices related to reproductive health in Portugal in the post-dictatorial period (1974–present
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working with multifunctional teams; Demonstrated experience in project, program, product, or change management in a business and/or higher education environment; Demonstrated experience with data analysis
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computing and data analysis skills CRIMINAL BACKGROUND AND EDUCATION CHECK REQUIRED Please note: This position is not eligible for Visa sponsorship from Brown University. Benefits of Working at Brown