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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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for examining and imaging the magnetic fields from exotic conducting materials (e.g. superconductors, topological insulators), performing high bandwidth and high sensitivity vector magnetic sensing and developing
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package should be prioritised are surprisingly difficult computational tasks. State-of-the-art high-performance algorithms are used to calculate routes for the vehicles in order to minimise costs and
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, yielding negligible performance gains or even inducing catastrophic forgetting. To bridge the gap between theoretical AL and real-world deployment, this PhD project will develop resilient active learning
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high-performing and collaborative team culture. You will work closely with colleagues across Infrastructure Services, eSolutions and the broader University to design and deliver modern, automated and
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community organisations to sustain program impact and success. As the successful candidate, you will bring high-level project management experience with a proven ability to coordinate complex training
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then link these with high-order constructs related to high-performance teamwork, such as effective communication, coordination and leadership. This will assist the assessment and improvement
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Performance Computing platform (MASSIVE) to do the experiments.
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J K Ellis Scholarship Industry Leaders Scholarship The JK Ellis Engineering Scholarship was established to recognise the high achievement of undergraduate students going in to second year who have
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the construction of PRS and enhance disease prediction. Students will gain experience in: Statistical genetics and GWAS methodology Machine learning approaches for high-dimensional data Algorithm development and