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-driven imaging algorithms using AI, evaluate algorithm performance through modeling and simulation, establish a research program, collaborate on research projects, seek and manage research funding
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School of Electrical Engineering and Computer Science Full-time (100%), permanent position Base salary will be in the range $137,542.79 - $158,351.30 + 17% Superannuation (Academic Level C) Based
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willingness to explore new ideas and methods. Desirable Foundational knowledge of quantum computing, algorithms, and their applications. Understanding of software engineering principles, including compiler
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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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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 $82,057.75 - $109,246.18 + 17% Superannuation (Academic
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at Griffith University. We are seeking applicants with active research interests in quantum computing, quantum algorithm/software development and applications in decarbonisation who can take full advantage
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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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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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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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This PhD project is part of a larger project that aims to explain the uncertainty of Machine Learning (ML) predictions. To this effect, we must quantify uncertainty, devise algorithms that explain