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environments where terrain can change abruptly. However, formally certifying these opaque learning-based components demands impractical resources, presenting critical safety assurance challenges and delaying
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, to undertake your own innovative research in and across the field. As a PhD candidate contributing to the NHMRC-funded SAFEST project, you will also have opportunities to learn from leading clinical researchers
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This PhD asks a different question: instead of demanding more data, can we build language models that learn smarter from less? You will design AI architectures that adapt to the structure of a
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, and undertake dissemination activities. The i3WaterS training programme integrates expertise in areas including: Artificial intelligence and machine learning Explainable and trustworthy AI Knowledge
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Position Description The project will focus on the development and application of advanced data-analysis techniques for gravitational-wave science, including machine learning and deep learning
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environment for doctoral researchers interested in longitudinal and mixed-methods approaches to language learning and mobility.
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applications for machine learning. Technology Assessment: Evaluate emerging technologies, instrumentation devices and other tools related to power electronics for electric vehicles applications. Collaboration
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, autism, epilepsy and speech impairment. The student will learn cutting-edge stem cell, genome editing and genomics methods while helping answer a fundamental question about how human brain development goes
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have learned during the day. Using a gentle sound played during deep sleep, linked to a therapy session, we aim to help the brain hold on to the progress made in therapy. The student will use wearable
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collaboration. The successful candidate will work alongside an active research group specialising in AI, blockchain, federated learning, trust frameworks, and intelligent systems. This fully funded studentship in