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Field
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and environment awareness in low visibility, in particular mining and construction environments that are characterised by heavy dust, smoke, and fog. Sensing modalities to be used include 4D radar and
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of scientific programming (e.g., Python or R) Experience in handling large datasets is an advantage. Interest in natural language processing, text mining, and machine learning. Interest in the societal
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Water Management FIELD OF SCIENCE: engineering and technology SCIENTIFIC DISCIPLINE: environmentalengineering, mining and energy DATE OF COMMENCEMENT OF THE COMPETITION: 30th January 2026 DEADLINE
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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 format- and name of file should not exceed ten (10
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support. Evidence Synthesis and emerging technologies Monitor and evaluate emerging tools and methods for evidence synthesis, such as text and data mining, and Artificial Intelligence (AI) tools. Implement
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are not limited to: Data visualisation Text mining Network analysis Digital mapping 3D modelling Augmented/Virtual reality AI and computer vision Digital exhibitions and archives Scholarly communication by
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Posting Details Posting Details Logo Institution South Dakota Mines Working Title Department Head and Associate Professor or Professor of Chemical and Biological Engineering Posting Number F01735P
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& Computer Science Physical Location of Position (City) Rapid City Posting Text The Electrical Engineering and Computer Science (EECS) department at the South Dakota School of Mines & Technology invites
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studies, and user research Perform sequence analysis, network analysis, and pattern mining to identify team-level interaction motifs Write and prepare papers for submission to peer-reviewed journals and
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Department of Mechanical Engineering Physical Location of Position (City) Rapid City Posting Text The Leslie A. Rose Department of Mechanical Engineering at the South Dakota School of Mines & Technology