59 high-performance-computing-postdoc Fellowship positions at The University of Queensland
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research projects funded by the NCYSUR through the Australian Government, Drug and Alcohol Program. The successful candidate will contribute to high-quality research on addiction, with a strong focus on
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reputed refereed journals and presenting at conferences. Technical expertise in programming (e.g. python) and experience with high-performance computing are highly desirable. Experience in machine learning
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to lead and support high-quality data analysis, contribute to manuscript preparation, and supervise Honour and Higher Degree by Research students, as well as psychiatry registrars undertaking scholarly
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breeding approaches for a range of high-value target traits. You will contribute to UQ's cutting-edge AI-guided breeding pipeline, developing and implementing methodologies to rapidly integrate beneficial
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at the Health and Food Sciences Precinct at Coopers Plains. Key responsibilities will include: Conduct high-quality research and produce outputs consistent with discipline standards, including publications
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an independent research program to achieve national recognition, collaborate on team research projects, seek and manage research funding, publish in reputable journals and utilise best practice research
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and characterisation. Demonstrated proficiency to carry out high quality research, and proven record of professional achievement in the relevant discipline area. Experience in bioreactor operation and
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to grow their expertise in multifunctional composite laminates, contributing to the development of high-performance antennas integrated into composite platforms. This is an exciting opportunity to grow
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of Carbon Dioxide (GETCO₂). At our Computational Multiphysics Laboratory (CML), we value innovation, collaboration, and technical excellence. You will benefit from access to large-scale high performance
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internationally recognised for its expertise in computational fluid dynamics (CFD), multiphase and multiphysics flow, and nonlinear solid mechanics, supported by access to world-class high-performance computing