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to: computer architecture, hardware design, operating systems, embedded systems, cyber-physical systems, edge computing, machine learning systems, hardware security, and quantum computing. Applicants must have
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learning and employment opportunities for KU students. This is a creative and dynamic position well suited for student-focused collaborators who are seeking a position that integrates direct student support
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programming, and information about experiential learning and employment opportunities for KU students. This is a creative and dynamic position well suited for student-focused collaborators who are seeking a
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to Military service, State Bar, Verification for employers, Scholarship, Transfer and other eligibility letters. Other duties as assigned. Required Qualifications High School diploma or GED equivalency. One
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; automated proofs; model checking; machine learning; and deep neural networks. Application areas including interdisciplinary usable security and privacy approaches; trustworthy systems; and secure systems
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Postdoctoral Research Associates to support multidisciplinary research on (1) Performance prediction of large-scale concrete dams using machine learning techniques, 2) Fiber-optic sensor-based monitoring
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the life, health, safety and campus property by expeditiously receiving, analyzing, evaluating and prioritizing emergent and non-emergent information via telephone, radio, computer, alarms, printers and in
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that exist. Further duties are outlined in the responsibilities section. Departmental tours are available to those wanting to learn more about the KU Police Department. Contact the Department for tours. Police
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assignments or unusual circumstances that exist. Further duties are outlined in the responsibilities section. Departmental tours are available to those wanting to learn more about the KU Police Department
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Self-Help Cognitive-Behavior Therapy (CBT-gsh) as a part of an ongoing research study and an NIH-funded clinical trial designed to develop a mobile-health app that uses machine learning to predict