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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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well as online data collection (experiments, surveys). Expertise in advanced machine learning techniques and large language models (LLMs) —including web scraping, text mining, and neural networks—is considered a
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having a doctoral degree in the discipline of psychology on the date of signing the contract of employment experience in working with natural language processing (NLP) and text mining techniques
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Familiarity with topic modeling, semantic modeling, or other text mining approaches Experience working with large-scale genomic datasets (e.g., UKBB, FinnGen) Knowledge of in vitro safety assays and
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Posting Details Posting Details Logo Institution South Dakota Mines Working Title Lecturer-Geology and Geological Engineering/Black Hills Natural Sciences Field Station (BHNSFS) Posting Number
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Location of Position (City) Rapid City Posting Text The Department of Mathematics at the South Dakota School of Mines and Technology invites applications for a tenure-track or tenured position at the rank
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and Applications, R Language for Statistics, Data Mining with Big Data, Artificial Intelligence and Deep Learning, Statistical Reasoning for Business Decisions, Data Visualization; Highly Desired: Text
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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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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