400 computer-security-"https:"-"https:"-"https:"-"The-University-of-Manchester" positions at Monash University
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who discover them The Opportunity The ARC SRIEAS Securing Antarctica’s Environmental Future (SAEF) program is a leading international research initiative from the Faculty of Science focused
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Geopolitical Security. The Research and Enterprise Portfolio is key to the delivery of our strategic vision, ensuring Monash delivers meaningful outcomes to the communities we serve, and remains at the forefront
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- Climate Change, Thriving Communities, and Geopolitical Security. The Research and Enterprise Portfolio is key to the delivery of our strategic vision, ensuring Monash delivers meaningful outcomes
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–biodiversity relationships and change in the Antarctic region. You will contribute to Securing Antarctica's Environmental Future (SAEF) and the School of Biological Sciences research outcomes that generate new
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checks required for the role, as determined by the University. Enquiries: Dr Belinda Comerford, Education Program and Safety Manager, School of Biological Sciences, 9905 1856 Position Description: Teaching
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the workplace, affecting workers’ mental health, financial security, family relationships, and children’s long-term outcomes. Yet, despite the rising frequency of economic shocks – from natural disasters and
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Science and Artificial Intelligence, with a focus on visual reasoning and robotic systems. The Research Fellow position involves developing novel approaches that integrate computer vision, natural
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also contribute to continuous improvement initiatives, ensure compliance with privacy and safety requirements, and support the School’s risk management and operational objectives. As the successful
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their performance evaluated in terms of classification accuracy, computational speed, and overall usability. Required knowledge Deep learning (CNNs, Transformers) and computer vision Knowledge distillation for model
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-disciplinary team of clinician scientists and computer scientists to develop diagnosis/predictive/treatment/robotics surgery models of diseases of interest using multimodal medical data, consisting of images