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We are excited to offer a fully funded PhD position at the Faculty of Engineering, Monash University (Australia). This project focuses on developing new algorithms to equip social robots with
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fully declarative, version-controlled infrastructure and software delivery. Developing and maintaining robust CI/CD pipelines using modern DevOps toolchains Engineering secure platforms, implementing
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-model fusion”. The successful candidate will develop near-real-time integration between emerging environmental and ecological AI-driven data sources (e.g., automated acoustic and machine vision species
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research often overlooks the complexities of mixed-vehicle environments, and the development of optimal deployment, routing, and charging strategies. This project aims to address these gaps by optimising
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, Melbourne. We are seeking PhD candidates interested in developing methods to assist the formative assessment and improvement of collocated teamwork, by making multimodal activity traces visible and available
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I work on the study of massive and supermassive stars (10-100,000 solar masses); the first generations of stars in the universe (Pop III stars); evolution of rotating massive stars and the spin
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Seizure prediction algorithms will be developed using the one-of-a-kind ultra-long-term human intracranial EEG dataset obtained from the Neurovista Corporation clinical trial of their Seizure
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datasets developed by Turning Point, including the National Ambulance Surveillance System and population-based resources involving the National Health Data Hub to answer these questions. This work will
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ongoing availability of animals for research programs Supervise, train and mentor staff, including work allocation, performance monitoring, and operational problem solving Partner closely with researchers
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invigilators during assessment delivery activities, contributing to their training, performance, and ongoing development. It will coordinate day-to-day activities across eAssessment and eVigilation operations