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expertise in other areas, as well as be open to learning as the project develops. For further information, please view the information booklet. If you are unable to access this link, please email talent
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computer vision and machine learning research group in Australia -- and contribute to world-leading research projects at the CommBank Centre for Foundational AI This postdoctoral research position is part of
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ongoing). In this role you will collate and link data from sources such as the Victorian Road Crash Database, National Coronial Information System, and Victoria Police. Your work will support
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generation of STEM leaders. www.rmit.edu.au/seh 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
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letter addressing the Key Selection Criteria for this position by clicking on the ‘Apply’ link at the top of this page. Applicants must have unrestricted working rights. Visa sponsorship is not available
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for (Selection Criteria): Essential: A doctoral qualification in a relevant engineering, computing, or physical sciences discipline. Demonstrated research expertise in data analytics, machine learning, artificial
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address the Key Selection Criteria for this position by clicking on the ‘Apply’ link at the top of this page. For further information about this position, contact Professor Joanne Tipper, Associate Deputy
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health solutions experience. Experience in developing and maintaining links with industry or research end-users and effective research collaborations. You will also have completed a PhD or equivalent in
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digital literacy, including the ability to rapidly acquire working knowledge of data analysis software packages. Demonstrated experience in qualitative and/or quantitative research techniques. Demonstrated
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to research-based activities, including the development of new data analysis algorithms, processing and analysis of field data, and participation in the fieldwork. Your responsibilities will include: Conduct