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the computations with the program director and PI. Support the procurement and maintenance of the software/hardware under the charge of the PI Any other adhoc duties assigned. Requirements The appointee should have
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processor-level firmware development, real-time data handling, and mechanical integration of new sensors and hardware components. The person in this role will be involved in the full development cycle—from
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embedded systems to emerging unconventional platforms (e.g. probabilistic computing). The research will define the architectural requirements for the next generation of robotic hardware. Prospective
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disciplines such as neuroscience/cognitive science, AI and machine learning, robotics, engineering, computer vision, and signal processing. Details of this year’s workshop are at https://sites.google.com/view
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California State University, Long Beach | Long Beach, California | United States | about 18 hours ago
Engineering or a closely related field. Areas of expertise may include, but not limited to, cybersecurity, computer and network security, hardware and embedded system security, cryptography, privacy-preserving
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Bright Leaders Program. Visit https://hr.utdallas.edu/employees/benefits/ for more information. About UT Dallas The University of Texas at Dallas is committed to graduating well-rounded members
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on-call rotation may be required Travel to locations on and off campus and move throughout various buildings to provide support and deliver/retrieve computer hardware and parts is required The ability
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, hardware, software, networking, provisioning, composability, and cloud computing. Leads or participates in proposal development securing funding in emerging technologies. Facilitates awareness and use
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Windows 11 & Mac OS b. Basic computer troubleshooting c. Basic understanding of computer hardware d. Microsoft Office Suite Work Hours Between 8:00 am and 4:30 pm, Monday through Friday Functional
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well as large-scale GPU computing facilities for deep learning. We are looking for a Senior Research Engineer to manage the EEE GPU Cluster. The role will focus on leading the EEE GPU Cluster team and in charge