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of the world to create a Neuro-symbolic AI that can provide assurance guarantees. Required knowledge A successful candidate should have: a degree in Computer Science, Information Technology Engineering, or
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Science, Information Technology Engineering, or equivalent, excellent mathematical and analytical skills, excellent skills in machine learning (i.e., deep learning, PINNs) and AI, excellent communication skills (i.e., both written
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industry- and government-friendly materials, public scholarship, and peer-reviewed academic publications The successful candidate will have a doctoral qualification in sociology, science and technology
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discover them The Opportunity The Department of Electrical and Computer Systems Engineering is seeking a highly skilled Research Fellow with a strong understanding of radar radio frequency (RF) systems
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is accountable for driving positive and sustainable change in people, process and technology, across all of Monash University and its controlled entities also known as the Monash Group. To be
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them The Opportunity The Woodside Monash Energy Partnership (WMEP), a collaboration between Woodside Energy and the Faculty of Engineering at Monash University, focuses on driving the transition to a
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team. Bridge big ideas and real outcomes. Translate strategic objectives into human-centred, technology-enabled solutions that work at scale. Lead with purpose. Inspire a high-performing cross-functional
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, with an operational footprint globally, the Maintenance Technology Institute (MTI) is a commercially orientated, professional research and engineering organisation that has been providing professional
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applicants): one in the Humanities and Social Sciences (HASS) disciplines. one in the Science, Technology, Engineering and Mathematics (STEM) disciplines. Selection criteria Relevance, quality and
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scholarships per year (subject to suitable applicants): one in the Humanities and Social Sciences (HASS) disciplines. one in the Science, Technology, Engineering and Mathematics (STEM) disciplines. Selection