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for this role include: Conduct research in the area of High Dimensional Approximation, Uncertainty Quantification, Deep Learning, and Quasi-Monte Carlo Methods independently and as part of a team, including
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School of Electrical Engineering and Computer Science Full-time (100%), fixed-term position for up to 12 months, with the possibility of extension Base salary will be in the range $114,824.05
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This project draws on a recent Dagstuhl Seminar (https://www.dagstuhl.de/en/program/calendar/semhp/?semnr=18322) that brought together leading experts from industry and academia, including those who
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to our vibrant program in Classics and Ancient History. This role involves undergraduate and postgraduate teaching, research, supervision, and academic service, with a particular focus on Classical
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to our Employee Assistance Program for staff and their immediate family UQ Study for Staff Affordable parking (from just $6.15 a day) Salary packaging options Questions? For more information about this
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insurance, and access to our Employee Assistance Program for staff and their immediate family UQ Study for Staff On campus childcare options Affordable parking (from just $6.15 a day) Salary packaging options
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health insurance, and access to our Employee Assistance Program for staff and their immediate family UQ Study for Staff On campus childcare options Affordable parking Salary packaging options About You A
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tools, and general computing skills A friendly, professional, and client-focused approach to work Ability to work independently with a methodical and organised mindset Desirable attributes include
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vision and pattern recognition methods, will be utilized to automate the process of fingertip detection. These methods will be trained to learn patterns from fingertip features and detect them using object
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systems and swarm robotics. The project builds on well established computational and mathematical modelling techniques to achieve its aims. Departure points will be agent-based simulations, optimisation