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of creating robust radio frequency fingerprinting (RFF) systems using machine learning. The successful candidate will have significant experience in signal processing or machine learning, and an outstanding
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in robotics, machine learning, battery systems or a related discipline to deliver project outcomes, build productive research partnerships and contribute to high-quality outputs. You will have the
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your expertise in robotics, machine learning, battery systems or a related discipline to deliver project outcomes, build productive research partnerships and contribute to high-quality outputs. You will
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. This continuing Level B role offers the opportunity to combine high-quality teaching with research in biomedical signal processing, machine learning and related areas, while contributing to an inclusive, industry
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Magma Research Associates / Magma Research Fellows to develop and maintain the Magma computer algebra system (http://magma.maths.usyd.edu.au/magma/ ). These positions are based at the University
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Required knowledge Skills Focus proficiency in one programming language (e.g. Matlab, R, Python), machine learning / deep learning / data science skills, basic understanding of cell and development
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literacy, including experience with student administration systems or other large business applications Well-developed interpersonal skills and the ability to work effectively with people from diverse
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, personal and parental leave, Employee Assistance Program, Medical Hub on Campus, Novated Car Leasing, 25% discount on some short courses, personal software discounts, among others About the position The VE
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by identifying opportunities for service improvement and developing specialist expertise to lead key processes or initiatives. Support learning and teaching programs, including the coordination
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our Trades, Engineering and Technology team. About the Role As a VET Teacher, you'll inspire, engage and educate students through contemporary teaching practices and industry-informed learning. Working