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Colorado School of Mines, Applied Mathematics and Statistics Position ID: CSM-TAP [#28070] Position Title: Position Type: Teaching stream faculty Position Location: Golden, Colorado 80401
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Student Advanced Level Requisition ID req35975 Working Title Web Developer Advanced Level Pay $17.00 Hourly Campus Main - Albuquerque, NM Department Mentoring Institute (437A) Employment Type
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-platform Social Media Mining (Salary group 13 TV-L, working time 100 %, limited to 36 months) The department Knowledge Technologies for Social Sciences (KTS ) conducts research at the intersection
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-mining/NLP pipelines). Experience developing research software that supports end users, including building web-based tools/platform features, APIs, dashboards, and deployable prototypes (level of depth can
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 1 day ago
, and teaching mode see the University of Toronto, Timetable Builder at: https://ttb.utoronto.ca/ . Faculty/Division: University of Toronto Mississauga. Department/Subject Area: Communication, Culture
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environments Experience with: structured design, development, and implementation of new computing architectures a variety of data sources (SAP, exposure to dashboards, OLAP and data mining tools, SQL, Oracle
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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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publications in journals indexed in the SCOPUS or Web of Science databases; participation in scientific conferences/symposia (national and international); participation in workshops and training courses
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, data mining, machine learning, natural language processing, human-centered computing, mobile and ubiquitous computing, cyber-physical systems, and engineering education. IST hosts the ABET-accredited BS
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-3180. Department: COSMOS - Provisional Positions Department's Website: https://cosmos.ualr.edu/ Summary of Job Duties: The Extra Help Assistant will help develop socio-computational models to advance our