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integrate these data streams to model tumour evolution, predict therapeutic response and resistance, and inform sequential treatment strategies, directly contributing to the development and implementation
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conferences, workshops, and collaborative visits. Each student will also be entitled to a relocation allowance of up to $1500. Project 1: Observation Focused Current models predict that water worlds should
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interventions. Potential research activities include: Developing prediction models for receptivity and lapse Conducting micro-randomised or n-of-1 trials Evaluating psychological mechanisms of engagement and
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PhD Scholarship Non-persistent rock discontinuities, rock bridges, and rock mass stability: numerical modelling and analysis. Water flow in rock discontinuities, discontinuity mismatching, and shear
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offers the opportunity to contribute to an emerging area of interdisciplinary research that brings together artificial intelligence and advanced materials modelling to address key challenges in
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AI PhD Scholarship - Opportunity: Foundation Models for Brain Data Job No.: 696618 Location: Clayton campus Employment Type: Full-time Duration: The scholarship may be held for up to 3.5 years
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. Accurate prediction of water inflows remains a significant challenge, and uncertainty can increase the risk of seepage, flooding, operational delays, and additional costs. To mitigate these risks, dewatering
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federated learning and multimodal deep learning models for healthcare. The project will focus on enabling privacy-preserving learning from distributed healthcare data sources, including longitudinal medical
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comparing our experimental observations to predictions made using the Standard Model of Particle Physics. I am a member of the LHCb collaboration, one of the four large experiments at the Large Hadron
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I supervise projects in particle physics. My main emphasis is on phenomenology, comparison of predictions with experimental measurements. I follow developments in flavour physics: weak decays