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broader university community About you postgraduate qualifications in a relevant field, or an equivalent combination of education and experience demonstrated experience in data science, machine learning
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functionality apply knowledge of WiFi protocols and sensing to real-world engineering challenges support integration of AI and machine learning approaches into wireless systems collaborate with academic staff
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opportunity Are you excited by the opportunity to apply machine learning techniques to discover new solutions to human health? Early detection and treatment can prevent the progression of coronary artery
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on future long autonomous navigation techniques. About you a PhD in a relevant field or near completion extensive knowledge of robotic navigation, machine learning or other relevant fields experience working
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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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respected, supported and able to contribute. Why join the University of Sydney? Join one of Australia's leading universities at a pivotal time, where technology is evolving to better support student learning
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machine learning approaches relevant to breast cancer research and medical imaging, where appropriate collaborate with multidisciplinary teams including radiologists, radiographers, clinicians
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multiple tasks, meet deadlines, and achieve required outcomes with attention to detail strong computer skills, with knowledge and experience in MS Office Suite, Rx Works or an equivalent veterinary software
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of the training and validation dataset machine Learning Development (HEO5): implement model training to classify lesion severity and map anatomical connectivity. Build and validate predictive models to establish