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sequencing (Oxford Nanopore), data mining of electronic medical records and use of machine learning to predict several outcomes. Among the approaches used will be the Bayesian information-theoretic
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technologies, recycling and reuse, and applied building physics, especially focusing on the Arctic conditions. Project description This research explores how mining waste, such as tailings and waste
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; Demonstrated expertise in social media mining and analysis of cyber campaigns; Extensive experience in studying multimedia-rich social media platforms and their impacts; Expert in qualitative data
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areas related to our faculty research interests. These include, but are not limited to, artificial intelligence, biostatistics, causal interference, data mining, high-dimensional data analysis, model
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and applies advanced data mining, segmentation, predictive analytics and modeling techniques to identify patterns, trends, and opportunities using Tableau, SQL, Power BI, and other related analytical
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and applies advanced data mining, segmentation, predictive analytics and modeling techniques to identify patterns, trends, and opportunities using Tableau, SQL, Power BI, and other related analytical
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assessment. Knowledge of data mining, spatial interpolation (IDW, SVM, K-NN, Random Forest), and GIS (QGIS, Python, R) is an advantage. Desirable requirements: Interdisciplinary research experience and
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, decentralized decision-making, and collective action. The Postdoctoral Fellow will help extract relevant open-source information in a guided snowball data collection manner by leveraging cyber forensics
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Sign In Create Profile R&D Engineer/Scientist II Tucson, AZ, United States | req27135 Apply Now Share Save Job Back to Search R&D Engineer/Scientist II Posting Number req27135 Department Sch Mining
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, statistical data analysis, visualization and use, text and data mining, and/or other quantitative and qualitative research methods. Contribute to strategic initiatives or teams within GWLAI , including