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The proposed PhD project aims to build a machine learning/deep learning-based decision support system that provides recommendations on precision medicine for paediatric brain cancer patients based
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the highest value scholarships. About the scholarship The Learning Potential Fund provides support through scholarships and bursaries to students in financial need. The Rosemary Vilgan Learning Potential Fund
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Nuclear Science and Engineering Undergraduate Scholarship - Department of Defence | Australia | about 8 hours ago
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and multimodal applications. Required knowledge Candidates are expected to have a solid background in machine learning and Natural Language Processing. Research experience in multimodal research is
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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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the highest value scholarships. About the scholarship The Learning Potential Fund provides support through scholarships and bursaries to students in financial need. The Kinder Collis Learning Potential Fund
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performance, is normally attributed to their learning capabilities. A learning solver gradually deduces and remembers new information about the decisions previously made, which can be reused in the future
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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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Many machine learning (ML) approaches have been applied to biomedical data but without substantial applications due to the poor interpretability of models. Although ML approaches have shown
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the brain. This wouldn't be a typical machine learning PhD, as many aspects can only be examined on a philosophical and theoretical level. There may be scope to implement aspects in the ideas you develop