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, interpretability and resilience of AI-based systems. Knowledge or demonstrated interest in anomaly detection, real-time data analysis and/or predictive modelling, particularly for dynamic and safety-critical
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networks. Core Responsibilities The faculty member will be expected to establish and sustain a vibrant, externally funded research program focused on systems-level analysis, modeling, and protection
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dissertation within one year of hire. The ideal candidate should have experience teaching in one or more of the following areas: software development, systems analysis and design, data communications and
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dictionaries, metadata management, data governance, and data quality. Proficiency in business process mapping, solution design, and data analysis Experience with data visualization tools (Tableau, Power
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play a central role in supporting research design, algorithmic development, data analysis, and coding tasks across CTED’s interdisciplinary projects. Working under the direction of the Principal
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recommending additions to CSET's recruitment stack Assisting in data collection, analysis, and reporting as needed Recruiting Process Improvement: Auditing the recruiting lifecycle to identify friction
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exposures to University losses in the various areas of liability, which include property, cyber, auto, and workers compensation among others. This area works closely with various departments and functional
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University of North Carolina at Chapel Hill | North Wilkesboro, North Carolina | United States | 8 days ago
common controls, evaluates security performance and proposed changes to the program, and works continuously to improve the institution’s response to cyber risk. ISO reports on program effectiveness and
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machine learning; cyber-physical systems; micro- and nanoscale systems devices and materials; energy and environment; and data analysis modeling and simulation. Hallmarks of the undergraduate experience