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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | 3 days ago
supervision Yes Research training / discussion Yes Career advisory services and programmes for future professionals The BTU Career Center (https://www.b-tu.de/en/careercenter ) offers extensive support to
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. Participates in robust data quality verification and process improvement when needed. Mines data reports from the trauma registry to inform the Trauma Program and Hospital leadership to promote process
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. The work will involve: Digitisation and computational processing of historical records, including metadata creation, textual analysis, data mining, and visualization. Development of an interactive and
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of data mining methods, experience in natural language processing (desirable) Excellent command of spoken and written English Econometric knowledge, familiarity with econometric software (e.g. R, STATA
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responsible for leading and conceptualizing advanced statistical modeling, predictive analytics, projections, forecasting, data mining, mixed-methods research (quantitative and qualitative), machine learning
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related to UMH-West and UMH-Sparrow. Stay updated with the latest data analysis tools and techniques. Data Analytics Use data mining to extract information from referral data sets and identify correlations
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ago. We continue to show our commitment to serving our wonderfully diverse population and building the future for Las Vegas and Nevada. For more information, visit us on line at: http://www.unlv.edu EEO
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Department Information https://med.unr.edu/ Exempt No Full-Time Equivalent 100.0% Required Attachment(s) Please note, once you submit your application the only attachment/s viewable to you will be
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are available at http://ist.gmu.edu/students/current-students/course-syllabi/) : Graduate Big Data Analytics Natural Language Processing Machine Learning Data Mining Cybersecurity Cyber-Human Systems Artificial
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prepare students for exciting careers within the process industry. Process industries include oil and gas production, chemical manufacturing, petroleum refining, mining and milling, power generation and