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fingerprinting (RFF) systems using machine learning. The successful candidate will have significant experience in signal processing or machine learning, and an outstanding track record in conducting research. You
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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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landfill. We are looking for a passionate researcher who can undertake mechanical design, design and conduct experiments, learn quickly, solve complex problems, develop innovative solutions, and contribute
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an outcome focused and inclusive workplace. To learn more about our culture and hiring process, visit our Jobs at Macquarie page.
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and inclusive workplace. To learn more about our culture and hiring process, visit our Jobs at Macquarie page.
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flexible work to enable an outcome focused and inclusive workplace. To learn more about our culture and hiring process, visit our Jobs at Macquarie page.
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workplace. To learn more about our culture and hiring process, visit our Jobs at Macquarie page.
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].pdf To learn more about this opportunity, please contact Professor Kingsley Dixon at [email protected] For enquiries on the recruitment process, please contact Talent Advisor at petrina.gomez
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: experience working with spatial omics or spatially resolved data in tissue experience applying AI or machine learning methods to digital pathology or histology data experience analysing kidney or transplant
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staff to supervise research and teaching, 51 fixed term staff and postdocs, 97 postgraduate students and 2,288 equivalent full-time student-load undergraduate students. To learn more about the School