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. Analyzing both quantitative and qualitative data including methodologies such as multiple regression, thematic analysis and text mining. Transcribing and coding qualitative data using software packages
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. Analyzing both quantitative and qualitative data including methodologies such as multiple regression, thematic analysis and text mining. Transcribing and coding qualitative data using software packages
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Department SDSMT-Civil & Environmental Engineering Physical Location of Position (City) Rapid City Posting Text The Civil and Environmental Engineering (CEE) department at the South Dakota School of Mines
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, the required material must be uploaded as ONE document under CV/ Resume (do not upload individual files for a cover letter, references, etc.). The document must be in .doc, .docx, .pdf, .rtf, or text
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situated in the field of machine learning. Potential research topics include, but are not limited to, algorithmic knowledge discovery, graph mining and social network analysis, optimization for machine
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of the greatest cities in the world. HOW TO APPLY Applications must be submitted online by accessing the CUNY portal on city university of New York job website www.cuny.edu/employment or https://cuny.jobs/ and
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. Demonstrated experience applying statistical modeling and/or machine learning methods to research problems, e.g., text mining, natural language processing, image segmentation, voice recognition, etc. Knowledge
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expert searching practices. Explores new tools and approaches, including text and data mining and artificial intelligence applications. Works with the Coordinating Bibliographer for Dental Medicine
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must be submitted online by accessing the CUNY Portal on City University of New York job website www.cuny.edu/employment or https://cuny.jobs/ and following the CUNYfirst Job System Instructions
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Physical Location of Position (City) Vermillion Posting Text The Beacom School of Business at The University of South Dakota is a vibrant, internationally accredited business school that has served students