180 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" positions at The University of Queensland
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computer skills, particularly with databases and software applications. Knowledge of university systems, policies, and programs, or the ability to quickly acquire this knowledge. Appointment to this role is
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comprehensive metadata schema is followed, consistent with relevant industry standards (e.g., ISO 19115). 2. Geospatial Analysis and Machine Learning: Develop and implement analytical tools and routines
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the machine-learning infrastructure that integrates CFD outputs with biological datasets. This role bridges engineering, computational modelling, and experimental integration — ideal for someone
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-day administrative processes, support teaching and learning activities, resolve issues as they arise, and work collaboratively with colleagues across the School. Your contribution will help maintain a
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UQ Brisbane City is part of UQ Venues Be part of the place for professional growth, learning and connection Multiple Casual Opportunities $36.15 per hour + 12 % superannuation contributions Based
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Strong safety awareness and commitment to safe work practices Current Queensland Open Driver Licence Basic computer literacy, with willingness to learn warehouse and logistics systems Appointment
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fit a 9-day fortnight. A Supportive, Collaborative Environment Work side by side with other skilled tradespeople and engineers. Receive real support when you need it, you’re never on your own. Learn
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, Collaborative Environment Work side by side with other skilled tradespeople and engineers. Receive real support when you need it, you’re never on your own. Learn from experienced colleagues and develop new skills
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location About This Opportunity Information Technology Services (ITS) delivers the digital foundations that support UQ’s teaching, learning, research, and engagement. As the first point of contact for all
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ability to translate expert content into engaging, high-quality interactive learning modules. This is a casual role in which the work hours will vary from week to week depending on participant availability