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California State University, San Bernardino | San Bernardino, California | United States | about 4 hours ago
machine learning systems. Information Freshness in Wireless Networks – analyzing and optimizing timeliness of information delivery, latency, and age-of-information metrics in networked systems. This role is
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) of the Texas Business and Commerce Code. If so, to be hired for and continue to be employed in this position you must maintain the security or integrity of the infrastructure as set forth in Texas Executive
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) of the Texas Business and Commerce Code. If so, to be hired for and continue to be employed in this position you must maintain the security or integrity of the infrastructure as set forth in Texas Executive
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Development • Build community utilizing the community development plan and activity model set forth by the department. • Directs staff in the creation of events and initiatives that encourage resident
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employed in this position you must maintain the security or integrity of the infrastructure as set forth in Texas Executive Order GA-48. By assuming this position, and if you have access to critical
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, hand-held devices, printers, wireless phones, portable learning devices and audio-visual multimedia gear. 2. Requires a working knowledge of WindowsTM and AppleTM operating systems. 3. Must understand
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basic maintenance of campus network infrastructure and related communication systems. This includes supporting enterprise routers, switches, wireless access points, and other network components by
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for many of the U’s shared IT services including the wired and wireless network; Campus Information Services (CIS) portal; UMail, telephone, and online collaboration; digital learning technologies
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. These teams are responsible for the implementation, maintenance, monitoring, and support of the University’s wired and wireless networks, low-voltage and fiber-optic cabling systems, and the enterprise Zoom
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: Generative AI Security – studying adversarial robustness, trustworthy AI, and vulnerabilities in large-scale machine learning systems. Information Freshness in Wireless Networks – analyzing and optimizing