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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
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research within the College of Science and Engineering . You will inspire students through engaging and innovative teaching in chemistry, contribute to the development of curriculum and learning materials
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, discounted health insurance, and 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
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Job no:521521 Work type:Full Time Location:Crawley Categories:Information Technology, Policy and Planning Drive impactful IT service improvements across the University. Flexible working options
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Drive strategic direction and influence major technology and capability decisions Shape future-focused platforms while guiding a high-performing, expert team About CSIRO As Australia's national science
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-centric healthcare innovations—that align with the University’s mission of improving health outcomes through technology. If you are excited about the opportunity to shape the future of data-centric
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, practicals, and tutorials in accordance with engineering and safety protocols conduct qualitative and quantitative tests, recording and computing relevant data to support investigative tasks provide training
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Candidates should hold a previous degree (Bachelor’s and/or Master’s) in Computer Science, Data Science, Robotics, Mechatronics, or Software Engineering, with demonstrated knowledge in machine
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knowledge of assistive technology and the higher education environment understanding of the needs of tertiary students with a disability competent computing and database management skills current Working With
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should have strong knowledge in a discipline or background that supports them to undertake the proposed project (e.g. human-centred computing/ computer science, engineering, social science, science