348 computer-science-quantum "https:" "https:" "https:" "https:" "https:" uni jobs at The University of Queensland
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Study for Staff program Affordable parking (from just $6.15 a day) Salary packaging options About You A relevant degree (e.g. animal science) or substantial specialist experience within the animal
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UQ Temps: Connects skilled professionals with a variety of casual opportunities across University of Queensland Opportunities: Various casual opportunities Casual Hourly Rate: Minimum $49 - $60 per hour + super Locations: St Lucia Campus, Herston Campus, Dutton Park Campus Explore Casual...
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Faculty of Engineering, Architecture and Information Technology (EAIT) Full-time (100%), Permanent position Base salary will be in the range $115,645.22 - $129,654.48 + 17% Superannuation (HEW Level
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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 Affordable
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Employee Assistance Program for staff and their immediate family. Cheap parking, On campus childcare and Salary packaging options. Want to Apply? All applicants must upload the following documents in order
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of the University’s Technology Master Plan. Working closely with senior leaders, business units and technical teams, this role is responsible for shaping initiatives from early concept through to delivery, ensuring
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– fitness passport access, free yearly flu vaccinations, discounted health insurance, and access to our Employee Assistance Program for staff and their immediate family Career development opportunities
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School of Electrical Engineering and Computer Science – Faculty of EAIT 1x Full-time (100%) and 1x Part-time (80%), Permanent positions Base salary will be in the range $82,133.76 - $91,295.50 + 17
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in computational science or a related field with a strong background in software engineering. Proven experience in software development (>3 years), including software design, implementation, and
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strong foundations in chemical or bioprocess engineering and hands-on experience in computational modelling. You will lead the development of the bioprocess physics layer of the digital twin and support