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are seeking motivated, energetic and well-organised Student and Academic Administration Officer to join the Medical School, primarily supporting the MD Program. In this role, you will play a key part in
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results. Once validated, numerical modelling will be conducted to assist the reactor design. The objectives of this industry co-funded PhD program also include an internship at the industry partner site
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startups in the quantum technology space. You’ll manage the Investor Committee, coordinate program activities, and ensure a thriving, collaborative environment that accelerates quantum innovation. Your key
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School of Electrical Engineering and Computer Science Full-time (100%), fixed-term position for up to 2 years Base salary will be in the range $83,698.91 - $111,431.10 + 17% Superannuation (Academic
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Employee Assistance Program for staff and their immediate family Career development opportunities –access to exclusive internal-only vacancies and our Study for Staff program On campus childcare options
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access to our Employee Assistance Program for staff and their immediate family Career development opportunities –access to exclusive internal-only vacancies and our Study for Staff program On campus
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March 2026 Applicants are required to submit a resume and response to key selection criteria. View position description Federation University is committed to The Circle Back Initiative program, whereby we
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, offering access to a diverse caseload and state-of-the-art equipment Focus on tropical, rural, and regional practice – Be part of a program uniquely positioned to address veterinary challenges in tropical
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This PhD project is funded by a successful ARC Discovery Project grant: "Improving human reasoning with causal Bayesian networks: a user-centric, multimodal, interactive approach" and the successful applicant will work as part of a larger research team. Reasoning and decision making under...
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Anomaly detection is an important task in data mining. Traditionally most of the anomaly detection algorithms have been designed for ‘static’ datasets, in which all the observations are available at one time. In non-stationary environments on the other hand, the same algorithms cannot be applied...