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and international academic researchers, research assistant(s) and research students to develop a unified computational model of how humans use automated advice. Undertake independent and collaborative
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seamless, secure, and effective systems integration. Drive automation, optimisation, and enhancement of HR technology platforms. Lead and develop a high-performing team delivering insights and system
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infrastructure services. In this pivotal leadership position, you will; Champion the adoption of automation and AI to modernise infrastructure delivery Inspire and develop a talented team, fostering a culture of
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hybrid and private cloud ecosystems. In this instrumental leadership role, you will drive innovation across virtualisation, public cloud, automation, and research compute services - ensuring our platforms
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of an automated tool to evaluate how well systematic reviews adhere to PRISMA 2020 guidelines — an international standard in health research reporting. Your responsibilities will include identifying and annotating
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, developing, optimizing, automating, documenting, and managing data operations, specifically processing Electronic Medical Records (EMR) in a secure cloud environment. The scientist will collaborate with data
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team to drive innovation and strategically impact student administration by digitising and automating processes within UQ's student systems. We are looking for a proactive, people-oriented individual
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support, including systems such as Video Conferencing, AMX/Crestron Control, Audio DSP, and Digital Signage. Experience with automation technologies and in IT assurance or site supervision on large projects
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Catalyst Centre (formerly DNA Centre): Experience with intent-based networking, automation, and assurance, and the ability to design and deploy automation workflows, templates, and integrations using APIs
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communications, instrumentation control and automation, computer systems, petroleum, and maritime engineering. Furthermore, Engineering at ECU was rated as above world standard in the 2018 Excellence in Research