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This PhD project focuses on the design and evaluation of hybrid quantum–classical algorithms for large-scale data analytics and optimisation problems. The research will investigate how quantum
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able to demonstrate present and current Australian work rights Have an undergraduate or post graduate qualification in Epidemiology, Computer Science, or Biostatistics, or have a public health, clinical
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infancy is difficult. This PhD program aims at using state-of-the art multi-channel near infrared spectroscopy (NIRS) to assess the functional brain response of infants born preterm in long-term follow-up
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AI is now trending, and impacting diverse application domains beyond IT, from education (chatGPT) to natural sciences (protein analysis) to social media. This PhD research focuses on the fusing AI
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Cabrini/Monash Nursing and Midwifery PhD Scholarship Program – The Peter Meese Cabrini Oncology Nursing PhD Scholarship Job No.: 690199 Location: To be confirmed (Clayton/Malvern) Employment Type
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information on our practice-based PhD program, please see: https://sensilab.monash.edu/work-with-us/practice-based-phd/
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This Masters or PhD project aims to explain the uncertainty of Machine Learning (ML) predictions. To this effect, we must quantify uncertainty, devise algorithms that explain ML predictions and
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candidates who wish to pursue a PhD on antisemitism using social science, media and communications, and/or other relevant interdisciplinary approaches. The successful applicant will be embedded within
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computers to large-scale multi-dimensional simulations on high-end supercomputers, depending on your interests and inclinations. "Modelling extreme supernova explosions: From fast and faint to bright and
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privacy constraints, robust solutions are essential. This PhD project will develop methods for building reliable medical imaging models that generalize across distribution shifts without retraining