169 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at The University of Queensland
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about Advancement’s alumni engagement activities, visit https://alumni.uq.edu.au/ . To learn more about The Queensland Commitment, visit https://partners-community.uq.edu.au/queensland-commitment . About
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analytics More information can be found at https://smi.uq.edu.au/mishc About This Opportunity This is an exciting opportunity for a Professorial Research Fellow to work within the Minerals Industry Safety and
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information on the Concussion Research at QBI, please visit https://qbi.uq.edu.au/brain/disorders-and-injuries/concussion/concussion-research-qbi . In this role, some of your key responsibilities will include
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agreements with the TERN Office. A key strategic objective is to sustain TERN into the longer term. Information about TERN Australia is available at http://www.tern.org.au . Join a community where excellence
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opportunities for student supervision and career development. For more about the Fairlie Group please visit - https://imb.uq.edu.au/research-groups/fairlie . Key responsibilities will include: Research
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part of an organisation that respects and champions Indigenous voices, your journey starts here! Our Commitment UQ is committed to Aboriginal and Torres Strait Islander peoples’ learning, discovery and
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a team The ability to acquire basic computer skills The ability to demonstrate a high degree of accuracy and attention to detail An ability to work in a busy customer service environment and a
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to develop and maintain strategic relationships, collaborate effectively, and consult with diverse client groups. Strong computer literacy and ability to use, or learn, software relevant to infrastructure and
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skills and the ability to quickly learn and adapt to different applications. Appointment to this role is subject to the successful completion of relevant pre-employment checks, which may include
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, or an equivalent combination of education, training, and professional experience. Experience in research administration, with sound knowledge of research policies and procedures—or the ability to quickly acquire