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This project aims to develop robust algorithms capable of identifying and analyzing fingertips extracted from both static images and video footage. Machine learning techniques, particularly computer
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their discipline. At this level, the role also involves contributing to service and engagement activities. The Researcher will contribute to innovative research developments within the scope of the ARC Discovery
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. Maintain a strong understanding of developments in computer hardware, software systems and algorithms where they apply to data science. As a member of the University community, demonstrate the highest
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queries, and automating data transformations. By combining advancements in natural language understanding, algorithm synthesis, and debugging, the proposed framework will enable developers to efficiently
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experiments for months before the value of output y is measured for some given input x. This creates an exciting challenge for AI researchers to develop smart algorithms that can find the optimal value of input
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on developments in their subject area or specialisation. The Lecturer may be responsible for course coordination. With this appointment, we are specifically interested in growing our strengths in research related
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students on developments in their subject area or specialisation. The Lecturer may be responsible for course coordination. With this appointment, we are specifically interested in growing our strengths in
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the headspace website. Possible approaches to addressing this challenge might include: Developing algorithms to identify patterns and preferences based on service users’ previous content engagement
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AI/ML for Object Tracking and Sensor Fusion, you will develop next-generation algorithms that power intelligent aerial systems—enabling real-time object tracking, multi-sensor data fusion, and
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deep expertise across omnichannel digital marketing analytics and performance, segmentation, web analytics and customer data platform management Support the development of the unit’s data strategy (data