134 parallel-and-distributed-computing-phd-"Multiple" positions at University of Adelaide in Australia
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multiple continuing positions available, both fulltime and part time capacity (0.5FTE, 18.38 hours per week). Join our Student Administration Team as our next Coursework Scholarships & Prizes Officer, where
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analysis. This role will be pivotal in advancing our ability to measure novel traits in field and controlled environments by implementing current best practices and proposing a program of targeted research
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Value The HDA and CRF PhD Excellence Award are $5,000 per annum for up to 3 years only to augment an Australian Government Research Training Program (RTP) Stipend Scholarship or equivalent
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. The successful applicant will work on decision making for anomaly detection, behaviour analysis and surveillance decisions, under the direction of A/Prof Claudia Szabo in the School of Computer and Mathematical
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support, including phone and email communication, appointment scheduling, and managing multiple phone lines. The role is responsible for coordinating patient admissions and discharges, liaising with
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PhD in Computer Science, Engineering or other Machine Learning-related field. • Programming experience in python, C++ or other relevant language and experience in deep neural networks • Strong
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to lead in the medical program, drive impactful research initiatives, and shape policy advancements in Obstetrics and Gynaecology. The appointee will report to the Discipline Lead, Obstetrics and
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an organisation. Knowledge of budgeting and resource allocation procedures. Excellent time management skills, with a demonstrated ability to respond to changing priorities, manage multiple tasks and meet competing
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develop and implement a strategic plan for the Australian Defence Technologies Academy, fostering cutting-edge research and education in close collaboration with multiple internal and external stakeholders
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administrative skills including database management and record keeping Proficient in using MS Office Suite and Microsoft Teams The ability to be self-organised to effectively prioritise multiple concurrent