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Posting Details Posting Details Logo Institution South Dakota Mines Working Title Equipment and Instrumentation Technician Posting Number CSA02647P Department SDSMT-Civil & Environmental Engineering
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technology and research from across the university. This position works closely with the Executive Director and the Venture Associate to develop and manage a robust pipeline of faculty, researchers, PhD
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of: • machine learning • cybersecurity • distributed systems • privacy-enhancing technologies The research will be carried out within the (team name) at LS2N, focusing on trustworthy AI and cybersecurity
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fully funded PhD position in the area of safe data-driven system identification for cyber-physical systems, offered by our research group at the intersection of control theory, machine learning, and
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, and machine learning models for functional genomics research in mycobacteria. Responsibilities Responsibilities include: Develop and maintain Django-based web applications and databases for sharing
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multi-omic sequencing, network biology, and machine learning to identify actionable biomarkers and therapeutic vulnerabilities. The successful candidate will work at the interface of computational
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automated liquid handling systems; and interest in machine learning and AI. 3/23/2026
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- eligible employees and their dependents can obtain a degree TUITION FREE A generous retirement plan and so much more! Salary Grade: T23 Learn more about the “T” salary structure here: https
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Engineering or Industrial Engineering and Management) - 10 points; Others Masters – 2 points) b) Experience in applying machine learning algorithms, data preparation, normalization, feature selection, and
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public safety environment. Minimum Qualifications Associate’s degree in information systems, computer networking, security technology, electronics, or a related field and six years of progressively