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Consideration - Education Master’s degree in Computer Science, Information Technology, or related field. Experience Required Experience in Cloud or Systems Engineering Experience in Azure M365 environments
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3.5-year D.Phil. studentship Supervisors: Prof Noa Zilberman The training of new AI models, as well as their deployment for inference, is transforming the design of computer networks. In
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: J0126-0129 Job Title: Computer Networks, Robotics and Controls Technologist Job Type: Continuing Full Time Department: Mechanical & Aerospace Engineering Job Category: Technologists Number of Positions: 1
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The Leah Armstrong Scholarship provides scholarships worth up to $20,000 per year for three years to Aboriginal and Torres Strait Islander women studying or looking to study at a tertiary level in a wide range of study areas including economics, finance, business or community governance. This...
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in the U.S. and in Korea. The Nam Center is seeking an individual to serve as the Academic Program Specialist for the unit. The individual will work closely with the Nam Center staff and faculty
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The University of Winchester is seeking to recruit a Programme Administrator to work in Faculty Professional Services. This is an exciting opportunity for applicants wishing to work in an academic
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, residential program built on the Shelton Leadership Center’s core values–compassion, integrity, belonging, and social responsibility–and is designed to help high school students enhance their capacities
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infrastructure? Then join us and take the helm as our Head of Cloud and Campus Infrastructure Services! This isn't just a management job. it's your chance to be the strategic architect of the technology that
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The UCLA Center for Prehospital Care at the David Geffen School of Medicine in the Department of Emergency Medicine is seeking an EMS Program Faculty to join our EMS Education team. EMS Program
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The project: The domain of High Performance Computing (HPC) effectively utilises massively multicore computers that facilitate the distribution of scientific workloads across thousands of compute