214 structural-engineering "https:" "https:" "https:" "UCL" "UCL" positions at Monash University
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established structure and intellectual community. Additional opportunities include co-authored publications, participation in symposia and workshops, school-engagement activities, and involvement in future
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This project draws on a recent Dagstuhl Seminar (https://www.dagstuhl.de/en/program/calendar/semhp/?semnr=18322) that brought together leading experts from industry and academia, including those who
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Dream. Design. Make. Monash Makerspace is where creativity meets cutting-edge technology — a vibrant hub for innovation, hands-on learning, and real-world problem solving. From student-led projects and
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successful candidate, you will bring extensive experience in operational management within complex or matrix organisational structures, demonstrating a proven ability to provide authoritative policy and
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a keen interest for innovation, startups, and technology? For instructions on how to apply, please refer to 'How to apply for Monash Jobs '. Diversity is one of our greatest strengths at Monash. We
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music technology have allowed us to remap the connection between our bodies and sound. Though music and movement have always been intrinsically linked, the rise of the laptop DJ broke that nexus. At worst
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-centric healthcare innovations—that align with the University’s mission of improving health outcomes through technology. If you are excited about the opportunity to shape the future of data-centric
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administrative records on the supply of mental health workers and mental healthcare services delivered over time. The expected outcomes of this project include new evidence on how the market structure and
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their understanding of Indigenous knowledge systems and how they support research into human and technology futures, as well as their interest in innovative and participatory methodologies. Applications can be
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testing approaches that can be used to verify that machine learning models are not biased. Required knowledge Software engineering, software testing, statistics, machine learning