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include hardware, software, high-level scientific and technical user support, and the education and training required to help researchers make full use of modern HPC technology and local and national
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, computer science, engineering, architecture, interaction technology, or a related field. Experience with real-time control of robotic or other hardware systems on Linux. Experience with Unity and C#, preferably
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-based SOM (System-on-Module) systems, as well as in the hardware implementation of ML and AI modules. Where to apply E-mail [email protected] Requirements Research FieldEngineering
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technology, software, and hardware skills including the use of Microsoft Office, email and the internet; • Experience providing high quality customer service, and contributing to a positive, friendly, work and
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, Communications, and Information Systems. Duties include: Under general supervision, assist with routine troubleshooting of hardware, software, and account-related issues for faculty, staff, and students through
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
manage multiple projects simultaneously. Proven ability to lead and participate in technical conversations. Ability to use and incorporate various hardware and software packages in support of project
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the diverse job tasks of a traditional IT Support Team, including, but not limited to support of general hardware and software, printers, networking equipment, Microsoft servers, and related IT equipment
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field models, and hardware-aware numerical algorithms on large-scale HPC platforms and emerging architectures such as quantum, analog, and neuromorphic computing. Teaching responsibilities will involve
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. Microcomputer hardware maintenance and troubleshooting is highly desirable. License/certification required Special Instructions to Applicant Please upload your resume’ online. Additional Instructions
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hardware and critical infrastructure resilience, leveraging AI, digital twins, and sensing to build secure and adaptive infrastructure; cyber-AI security, and safety, which addresses securing embodied AI