348 parallel-and-distributed-computing-"DIFFER" positions at The University of Queensland
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. Ability to work effectively in a team and contribute to performance targets related to quality and compliance. Ability to adapt to different and new technology to process a wide range of tasks including
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attitude to meet the needs of different teams. A broad understanding of administration procedures and structures. Experience in web applications development using Drupal (for web focused role). About UQ As
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will include, but are not limited to: Research: Undertake the development and application of computational fluid dynamics (CFD), data-driven and mechanistic models for wastewater treatment processes
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recent graduate to build foundational knowledge and launch your career in university administration with this unique rotational program, gaining broad-based, hands-on experience across key student services
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coordination and delivery of high quality and effective program and course administration for Executive Education offerings, including coordinating and providing secretariat function for stakeholder meetings
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best-practice chemical management and make a real difference for teaching and research at UQ. Key responsibilities will include: Oversee Chemical waste processes, including generation of waste labels
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difference. You’ll design and deliver knowledge translation strategies, foster strong partnerships, and help embed evidence-based practices into health and community settings- all contributing to AFN’s vision
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geomechanics, or ability to quickly acquire relevant domain knowledge. Proficiency in high-performance computing (HPC) for large-scale parallel simulations. Experience with advanced constitutive models and their
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at our Gatton Campus , a heritage rural site with innovative facilities About UQ VETS A career at UQ VETS means making a difference to not only the lives of the people and animals in your care, but also
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experience with different sampling techniques for organic pollutants. In addition, you will be able to perform in-depth and critical data analyses and, where relevant, data modelling. This opportunity is being