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PhD Scholarship Opportunity – Software Engineering for Social Good Job No.: 677910 Location: Clayton campus Employment Type: Full-time Duration: 3.5-year fixed-term appointment The Opportunity
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Applied mathematics, fluid mechanics, high-performance computer simulations. Full time, fixed term position (3 years) at Hawthorn campus $34,700 per annum (2025 rate) About the Scholarship Higher
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the undergraduate policing program, delivered to both internal and distance education students aspiring to join the NSW Police Force. As part of the Applied Policing academic team, you’ll deliver integrated
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partners to ensure our program reflects the evolving needs of the profession. You’ll teach across the full spectrum of the policing curriculum (excluding weapons/officer safety and some driver training) and
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while maintaining and expanding operations at the Joondalup and South-West (regional) campuses and building our program at the newly opened ECU Sri Lanka campus. Selection criteria You will have a PhD or
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Precinct with links to industry, a major primary health facility and resources to support clinical trial initiatives. The school has a broad range of program offerings, a Bachelor of Pharmacy (Hons) program
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 2 months ago
supervision of graduate research, focusing on candidates completing Master of Research (or equivalent) and PhD degrees; Recent successful experience with course/program accreditation carried out by Speech
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seeking a leading researcher to advance a program in Applied Clinical Data Science, Machine Learning and AI. This role offers the chance to lead high-impact projects, mentor emerging researchers, and
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University values trust, accountability and excellence . As such, we see the importance of recruiting talent aligned to these values. You will develop an independent research program and engage in
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Computer Science, Engineering, Data Science, or a related field. Postgraduate qualifications (MSc, PhD) would be an advantage. Proficiency and demonstrated experience working with Big routinely collected health data