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of wireless electric vehicle charging. About Us Join a high-performing research team at Macquarie University to help develop next-generation wireless charging technology for electric vehicles. This industry-led
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vacation care during school holidays Discounted health insurance Subsidised membership at our Sport & Aquatic Centre Access to our Employee Assistance Program Convenient onsite GP, imaging and physiotherapy
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, Manufacturing, Automation Computing & Technology: Computer Science, Software Engineering, Artificial Intelligence, Data Science, Cybersecurity Aviation & Aerospace: Aviation management, aviation safety, airport
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) develop research collaborations and engage in translational research that result in knowledge or technology transfer leading to commercialisation, improved policy or practice, or enhancement to industry
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., multispectral imaging) and computational tools such as machine learning or AI into research workflows. Strong project management skills, including planning, milestone delivery, and working with industry partners
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Charles Sturt University | Charles Sturt University, New South Wales | Australia | about 21 hours ago
) Master of Project Management and Leadership (Professional Practice) Master of Business Data Analytics Communication Bachelor of Communication (with specialisations) Engineering Bachelor of Engineering
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to strengthen the impact and reputation of the School of Computing, Faculty of Science and Engineering, and Macquarie University. About us You will be joining a growing School of Computing in the Faculty
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Full time, fixed term opportunity for two years, located at the School of Chemistry, Camperdown Campus Sydney Opportunity to drive a high-impact research program using catalytic air-gap
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in the Amgen Scholars Program in Australia if I am not a science or engineering major? Yes. Students in any major may apply, although it is expected that most of the Amgen Scholars will have science
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for