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. Dashboard and Report Development: Create interactive dashboards, reports, and visualizations using tools like Power BI, Tableau, Python or Looker. Data Extraction, Transformation, and Loading (ETL): Automate
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Help prepare data sets for analysis and use in prediction models. Develop and evaluate machine learning models. Help process data with Python, Java, and other programming languages. Help document data
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outcome research, including classification, regression, clustering, and deep learning algorithms. · Statistical Software: Proficiency in statistical software such as SAS, Stata, R or Python, including
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languages such as PYTHON, and C++ is beneficial. 6. Attend a weekly laboratory meeting and report to the group on progress of assigned duties. 7. Assist other laboratory staff in collecting biomechanics and
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- Experience with git version control - Database administration experience (PostgreSQL) - Familiarity with scripting and basic programming (Bash, Python, Java, Rust) - Knowledge of MacOS Type Benefited Staff
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focuses on utilizing Python, SQL, Azure Machine Learning, Power BI, and Power Apps to extract, analyze, and visualize healthcare data, with a primary emphasis on advancing cancer research. We invite
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, Clojure, JavaScript, PHP, Python, Ruby · Familiarity with graph and document store technologies: Neo4j, MongoDB, OrientDB · Collaborate with the other engineering staff to build out applications and
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Proficiency in Python for data analysis and automation tasks Type Benefited Staff Special Instructions Summary Additional Information The University is a participating employer with Utah Retirement Systems
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Python and SQL for data access and monitoring Understanding of security best practices and threat detection Familiarity with clinical research systems (REDCap, OpenSpecimen) and biorepository workflows
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administration and staff. Understanding of evidence-based practice and program evaluation. Experience with R, SPSS, SAS, Python, or other statistical programming tools desired. Familiarity with child welfare