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-driven science (data mining, visualization, text mining, etc.). Develops services to enhance access to data and coordinates computing resources. Develops opportunities and materials for research data
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accordingly, and meet deadlines; use personal computer and software, and provide outstanding customer service. TO APPLY: Applications must be made online at https://yourfuture.sdbor.edu . South Dakota Mines is
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, this position offers a unique opportunity. You will work with real robots, real sensors, and real physical interaction problems, contributing directly to the development of autonomous mining systems capable
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extract events and mine knowledge from existing unstructured/structured data, and exploit the knowledge via neuro-symbolic reasoning for crime prevention (eg -sexual assaults), especially when there is no
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analysis methods to mine new or existing data sets. A variety of chemical metrology and chemoinformatic resources and expertise are available to develop, challenge, refine, and validate new concepts
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Institute of Mining Engineering in conducting leading edge research, providing outstanding education and contributing to social and economic development in Canada and around the world. For more information
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techniques in bacterial genomics, including both short- (Illumina) and long-read sequencing (Oxford Nanopore), data mining of electronic medical records and use of machine learning to predict several outcomes
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Posting Details Posting Details Logo Institution South Dakota Mines Working Title University Law Enforcement Officer Posting Number CSA02593P Department SDSMT-Public Safety Physical Location
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Academic Job Category Faculty Non Bargaining Job Profile Research Associate Job Title Research Associate Department Research Student Appointments | Klein | Department of Mining Engineering | Faculty
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Anomaly detection is an important task in data mining. Traditionally most of the anomaly detection algorithms have been designed for ‘static’ datasets, in which all the observations are available