100 computer-programmer-"IMPRS-ML"-"IMPRS-ML" positions at University of Adelaide in Australia
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experience with projects that overlap across multiple fields. The ability to plan and manage own research activity and conduct relevant individual and collaborative research projects. Good oral communication
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Family Foundation. The scholarships are intended to supplement an existing Australian Government Research Training Program Stipend Scholarship (RTPS) or similar institutional PhD stipend scholarship
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Job no:517242 Work type:Fixed term - Full-time Campus:Adelaide Categories:Administration, Executive Support, HEO6 (HE06) $92,511 - $99,929 per annum plus an employer contribution of 17% superannuation applies. Full time, fixed term contract until September 2026. Exciting opportunity for a...
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-leading research and teaching. Why Join Us? The University is the third-oldest university and a member of the prestigious Group of Eight (Go8). Our Engineering program is ranked 46th in the world in
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the field. Our research programs focus on the spectrum of heart rhythm disorders and involve a multidisciplinary team of physicians, bioengineers, research scientists and computational modellers. This allows
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and computational facilities and laboratories that support a vibrant postgraduate research community, and research partnerships spanning academia, government and the resources industry. The successful
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The Division of University Operations enables the University's delivery of high-quality and distinct learning, teaching and research experiences. Its responsibilities link to Adelaide's strategic plan and focus
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undertaking the Bachelor of Laws program Be an Australian Citizen, permanent resident of Australia, New Zealand Citizen or holder of a permanent humanitarian visa Be enrolled in an internship related to human
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must: Be enrolled in first or second year of a Bachelor of Engineering (Honours)(Civil) program of study including associated double or combined programs Be an Australian Citizen, Permanent Resident
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the timing, scale, and rate of mammal declines in Australia. They will use critical inferences of past demographic change and high-performance computing to disentangle the ecological mechanisms that were