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communities. Duties and Responsibilities: Assist with data mining and extraction from clinical databases and electronic health records (EHRs) using SQL, business intelligence tools, and other approved
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or PhD in public health, epidemiology, statistics, biostatistics, math, economics, or quantitative social sciences plus two years’ experience preferred. Experience with machine learning, data mining, and
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Scientific and Research Centre for Fire Protection National Research Institute | Poland | 2 months ago
14 Jul 2026 Job Information Organisation/Company Scientific and Research Centre for Fire Protection National Research Institute Department Department of Studies and Research Projects Research Field
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strongly preferred. Applications must be made online at https://yourfuture.sdbor.edu . South Dakota Mines is committed to recruiting and retaining a talented workforce and offers an excellent comprehensive
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specific to healthcare revenue cycle management. Intermediate to advanced use of data mining software applications, including Microsoft Excel and the ability to create Executive-level reporting in Microsoft
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logistics, integrating process mining, geospatial analytics, IoT data fusion, and real-time prediction of logistics performance and carbon emissions. About us The professorship of Information Systems
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Temporary Hourly $16.00/hour College/Department Information https://www.unr.edu/nres Search Contacts For any questions about this position, please contact Karri Canham, [email protected] 775-784-4835 College
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learning, programming, or related quantitative disciplines. Coursework in machine learning, predictive analytics, data mining, or artificial intelligence. Experience completing research, capstone, or class
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courses in areas such as scientific computing, web-based system design, software engineering, machine learning, data mining, and intelligent systems, among others. In compliance with NYC's Pay Transparency
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with data mining of publicly available datasets such as TCGA, TARGET, DepMap, ICGC and with the development of machine learning approaches for complex datasets is also a plus. For more information and to