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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
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-college To Apply Please submit your CV and covering letter addressing the Key Selection Criteria for this position by clicking on the ‘Apply’ link at the top of this page. For further information about
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product for transport planning. About the opportunity Lead research and development of advanced computer vision models, multi-object tracking, and post-processing methods to improve traffic video analytics
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contribution of 17% superannuation applies. Fulltime, fixed term research position, available for 12 months. Research Fellow Opportunity in Protein Biochemistry. This is an exciting opportunity for a completed
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engineering. About the opportunity Play a key role in advancing the AuScope Geochemistry platform ‘EarthBank’ at UWA. Contributing to new and existing analytical datasets and data models, improving
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data, spatial modelling, multivariate statistics and/or machine learning, and relevant coding languages (e.g. R, Python), including a sound understanding of FAIR data principles, data management and
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PhD in Forensic Science, Electrical Engineering, Computer Science, Data Science, Criminology or related area (or near completion). A record of high-quality research outputs, including publications
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administrative functions, provide support to colleagues, and uphold university values. This is a research focused position. Further information can be found by viewing UQ’s Criteria for Academic Performance
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customer service abilities. About you as an Academic Level C Senior Research Fellow (in addition to the above) Completed PhD in a relevant field. Demonstrated experience working with health data, leading
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commercially orientated research projects in computer vision and machine learning. To be successful you will need: A PhD in Computer Science, Engineering or other Machine Learning-related field. Programming