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Job Reference: 975505 Do you have a growing profile in teaching, research and service/leadership? Do you thrive in a complex environment where you can help shape the future of education and research
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Job Reference: 964707 Are you passionate about shaping the future of healthcare? Do you have a desire to help medical students grow into self-directed, critical thinkers ready to tackle
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understanding of the processes that will help researchers design their experiments and accomplish their goals more efficiently, with reduced wastage of resources. Aims To develop a virtual platform by which new
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, despite highly non-convex objective functions, typically avoids local minima problems. • Analyse how architectural designs such as residual units and attention mechanisms contribute to overcoming local
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. Through application of a representative learning design framework this project will explore how representative are the training activities undertaken in different in game phase (set play / offensive
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fall detection would be from video as it does not require wearing a device and remembering to charge it and so on. But computer vision-based falls detection in the elderly can be problematic due
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that the program will help surgeons to select the best combination of alloys and materials for joint arthroplasty, tailored to the lifestyle and overall health of patients. Student type Future Students Faculties and
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the Digital Systems and Intelligent Sensors group (DSIS). within the School of Electrical Engineering, Computing and Mathematical Sciences. DSIS endeavours to utilise technology to assist people with
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been to change cancer outcomes for Australians. Funding Australia’s researchers, scientists and clinicians is how we build towards better treatment, diagnosis, prevention, and care. We are proud to be
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Grant is a SSAF funded program designed to assist current Curtin students who have demonstrated that financial hardship has prevented access to childcare while attending class, practicums, exams