376 parallel-computing-numerical-methods positions at The University of Queensland in Australia
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School of Electrical Engineering and Computer Science Full-time (100%), fixed-term position for up to 3 years Base salary will be in the range $82,057.75 - $109,246.18 + 17% Superannuation (Academic
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Manager, you will play a pivotal role in delivering multiple research projects from initiation to completion within the First Nations Cancer and Wellbeing Research (FNCWR) program. This is a unique
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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 –access
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flu vaccinations, discounted health insurance, and access to our Employee Assistance Program for staff and their immediate family UQ Study for Staff On campus childcare options Affordable parking (from
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fortnight Health and wellness discounts – fitness passport access, free yearly flu vaccinations, discounted health insurance, and access to our Employee Assistance Program for staff and their immediate family
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Gatton Campus About This Opportunity We are seeking a proactive and detail-oriented professional to lead an exciting academic transition program for high school students and new international students
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vaccinations, discounted health insurance, and access to our Employee Assistance Program for staff and their immediate family UQ Study for Staff Salary packaging options About You A relevant bachelor’s degree
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team to bring UQ's transition framework to life, shaping student success through data-driven strategies and collaborative leadership. We are seeking a strategic and data-driven program manager who has
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School of Electrical Engineering and Computer Science Full-time (100%), fixed-term position for up to 12 months, with the possibility of extension Base salary will be in the range $82,133.76
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modeller to help lead a collaborative research programme between the University of Queensland and King Abdulla University of Science and Technology (KAUST) with Prof David Suggett. Our shared goal is to