370 computer-security "https:" "https:" "https:" "https:" "https:" "Dr" uni jobs at Monash University in Australia
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contrastive self-supervised learning task to learn from massive amounts of EEG data. Frontiers in human neuroscience. [2] https://www.emotiv.com
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people who discover them The Opportunity Lead a dynamic program of veterinary care, research animal skills training and scientific services at the Monash Animal Research Platform (MARP). At the centre of a
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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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-user devices and software assets, delivering a seamless, secure and customer-centric experience that empowers staff and students to do their best work every day. Positioned at the forefront of strategy
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. This work combines computational modelling and simulation with biological experiments that are analysed using cutting-edge computer vision techniques. We collaborate closely with Macquarie University where
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Candidates should hold a previous degree (Bachelor’s and/or Master’s) in Computer Science, Data Science, Robotics, Mechatronics, or Software Engineering, with demonstrated knowledge in machine
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to cultivate relationships with Monash University’s most generous and transformative donors, building a strategic program focused on securing and stewarding philanthropic gifts in excess of $5 million. This
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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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: $140,157 - $148,769 pa HEW Level 09 (plus 17% employer superannuation) Drive secure and scalable transformation across international campuses in Malaysia Opportunity to apply large scale technical project
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employment is contingent upon the satisfactory completion of all pre-employment and/or background checks required for the role, as determined by the University. Enquiries: Dr Louisa Picco, Research Fellow, +61