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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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integrating IoT sensor data, ML algorithms, and energy system modelling / simulation. Develop engineering-based simulations to understand operational impacts on energy output and maintenance needs. Prepare
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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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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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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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School of Electrical Engineering and Computer Science Full-time (100%), fixed-term position for up to 3 years Base salary will be in the range $80,448.78- $107,104.10 + 17% Superannuation (Academic
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campus, but may be required to travel to other University campuses In the School of Computing Technologies, we aim to change student experience by embracing evidence-informed pedagogical strategies, and
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at the City campus, but may be required to travel to other University campuses In the School of Computing Technologies, we aim to change student experience by embracing evidence-informed pedagogical strategies
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publicly available datasets; 3) Proposing algorithms aimed at improving the accuracy of human activity detection; 4) Implementing these algorithms, evaluating their performance empirically, and comparing
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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