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focused position. Further information can be found by viewing UQ’s Criteria for Academic Performance . About UQ As part of the UQ community, you will have the opportunity to work alongside the brightest
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candidate will also be required complete mandatory immunisations. For further information, please view the full appointment booklet . If you are unable to access this link, please email talent@uq.edu.au
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or chemistry, or applied mathematics. Demonstrated evidence of computational modelling experience, including code development and data analysis. Ideally experience using one or more of the following: Molecular
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Dr Yee Lian Chew, the successful candidate will play a key role in designing and conducting experiments, analysing data, and preparing manuscripts for publication. This position is part of an ARC
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demonstrating values-based leadership that supports wellbeing, inclusion, and organisational excellence. This is a research focused position. Further information can be found by viewing UQ’s Criteria for Academic
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to: lead advanced biostatistical and econometric analyses across large and complex health datasets contribute to the team’s publications, grant applications, and scholarly outputs manage and curate data
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requirements of the role and how your skills and experience will ensure your success in the role. Further information is available by contacting Professor Karla Canuto on (07) 4232 1570 or via email to
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. Further information can be found by viewing UQ’s Criteria for Academic Performance . About You Completion of a PhD in sport & exercise sciences, rehabilitation sciences, rehabilitation medicine, public
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compulsory employment checks prior to starting in this position. For more information and instructions, please visit:NSW Health employment requirements This position is designated as involving child-related
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Job no:521360 Work type:Full Time Location:Crawley Categories:Arts, Business, Education, Law Lead cutting-edge computer vision research and deployment to advance traffic video analytics and real