96 parallel-and-distributed-computing-phd-"Multiple" positions at Flinders University
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| Honours or Masters student studying electrical, electronic or mechanical engineering, artificial intelligence (or computer science, majoring in artificial intelligence), information technology or other
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appointment; holds a Research Doctorate or equivalent. Applicants to a PhD in the College of Medicine and Public Health should be focused in fields related to medicine, biomedical sciences, or public health
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our world class teaching hospital at the Flinders Medical Centre in South Australia to multiple rural clinical locations all the way to Darwin in the Northern Territory. Our research and teaching equip
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reaches out from our world class teaching hospital at the Flinders Medical Centre in South Australia to multiple rural clinical locations all the way to Darwin in the Northern Territory. Our research and
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Position Details 12-month fixed term | 0.5 FTE I Multiple positions available Academic Level A | $88,842 - $107,666 pa plus 17% super Location: Bedford Park / Kaurna Country View Position
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out from our world class teaching hospital at the Flinders Medical Centre in South Australia to multiple rural clinical locations all the way to Darwin in the Northern Territory. Our research and
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this position, you will also demonstrate: Completion of a PhD in Geospatial Science or a closely related area. An established international reputation in research, evidenced by sustained high-quality publications
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Officer (Patron Engagement) is also expected to adeptly handle multiple online systems (and print books) as required. You will be required to work across any of the University’s Adelaide campuses as and
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, invoice processing, and coordination of finance and staffing administration across multiple teams. The position requires strong organisational skills, sound judgment, and the ability to manage competing
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gifted “people leader” who will provide leadership, guidance and supervision to the Accounts Payable and Accounts Receivable Officers, ensuring effective workload distribution, timely processing and