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teaching-track faculty and 54 tenured and tenure-track faculty with wide-ranging research interests, and strong research groups in cybersecurity, systems and networks, machine learning and data mining
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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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computational approaches to tackle questions at this interface. We are particularly interested in candidates with plans to develop a research program involving mining of large-scale data and/or cancer prevention
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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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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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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | 1 day 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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30 Oct 2025 Job Information Organisation/Company Télécom Paris Research Field Computer science » Informatics Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions Country France
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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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, Darwin Core) Collaborate with experts in biodiversity, taxonomy, and collections at the SDEI and SGN to align text mining approaches with digitization strategies, collection development, and legacy data