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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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advances in machine learning and real-time control fabricate robust instrumentation or photonic components for use at 8m-class and future ELT-class observatories perform lead roles instrument development
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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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Full time, fixed term for 2 years with the possibility of extension Join the School of Electrical and Computer Engineering and contribute to pioneering research redefining CubeSat technology Base
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professional audiences strong planning and organisational skills with the ability to manage competing priorities proficiency in computer applications and research-related systems. Sponsorship / work rights for
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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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Base Salary $117,936 - $125,896 + 17% superannuation About the opportunity The Centre for IoT and Telecommunications (CIoTT) in the School of Electrical and Computer Engineering is seeking a Postdoctoral
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Research Associate in Biofabrication to join its cutting-edge Human-Computer Interaction and fabrication lab. Working with A/Prof Withana and a globally recognised interdisciplinary team across
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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.