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to effectively identify and engage researchers who are eligible to apply for Category 1 grants in the University’s Grants Development Support Program. They will be responsible for developing and implementing
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Faculty of Business, Economics and Law (BEL) Full-time (100%), permanent position with professional team Base salary will be in the range $102,565.37 - $111,686.39 + 17% Superannuation (HEW Level 7
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for carrying out teaching activities within undergraduate program, Bachelor of Graphic Design, as well as teach within the Communication Design postgraduate programs. Expertise in Human-centred Design, Service
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Full time, fixed term until March 2027 Empower researchers with AI Base Salary $126,065 + 17% superannuation About the opportunity The Australian BioCommons and Sydney Informatics Hub (SIH
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The world is dynamic, in constant flux. However, machine learning typically learns static models from historical data. As the world changes, these models decline in performance, sometimes catastrophically so. This PhD will develop technologies for addressing this serious problem, building upon...
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Continuous (Permanent) Location: Kensington – Sydney, Australia The Opportunity Join the School of Computer Science and Engineering (CSE) in the Faculty of Engineering as an Associate Professor in a Teaching
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work. The UNSW RNA Institute is Australia’s leading RNA research institute, bringing together researchers from UNSW Science, Engineering and Medicine, led by Professor Pall Thordarson, with collaborative
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is seeking two Entrepreneurs in Residence (EiRs) to join our accelerator program team. This is a unique opportunity to work at the forefront of deep tech innovation, supporting the next wave of high
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to the development and rollout of technology-enabled platforms and tools that enhance student access to academic language and literacy support. Assist in the evaluation of student needs and program impact through data
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testing approaches that can be used to verify that machine learning models are not biased. Required knowledge Software engineering, software testing, statistics, machine learning