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- WROCŁAW UNIVERSITY OF ENVIRONMENTAL AND LIFE SCIENCES
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Field
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Assistant will aid cyber forensics and deep web search-based methodologies, to assist with extracting relevant open-source information in a guided snowball data collection manner. The Extra Help Assistant
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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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-learning, preferably in higher education; experience with graphic and multimedia authoring software and Web site design software; or an equivalent combination of education and experience. Preferred Education
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learning and currently enrolled in a Master's program at UALR. Preferred Education and/or Experience: A candidate with research experience in social media mining, computational modeling of social science
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data to identify shifts and trends in the marketplace. Data analysis is integral to ensure enrollment goals are attained. Prior experience with web-based and electronic marketing, customer relationship
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, software and data engineering, data mining, machine learning, and Artificial Intelligence. Qualified candidates are invited to submit their applications through the web portal available at https
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, engineering, and/or 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
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data mining will be considered. A PhD in Data Science, Statistics, or Mathematics is required by the appointment start date. Evidence of excellence in teaching at all levels of the curriculum and strong
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a Bachelor’s program at UALR. Preferred Education and/or Experience: A candidate with experience in social media mining, computational modeling of social science theories, social network analysis
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published in the Official Gazette (Diário da República), 2nd series, no. 148 of 02 August, this call for applications is published for one position of Assistant Professor to the disciplinary area of Mining