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use advanced computational techniques to accurately capture the effect of ultra-high pressure and high temperature on the materials properties. Your studies will include theoretical analysis
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data is often affected by significant noise and scan distortions. High-quality ground truth data is usually unavailable or costly to collect. To overcome this, we focus on self-supervised denoising
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other departmental duties, up to a maximum of 20 per cent of full-time. A high level of presence at your workplace is expected so that you will be able to benefit and contribute to the lively
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original, high-quality research in trustworthy machine learning. You are expected to: Publish your findings in leading journals and conferences. Present your work to both academic and industry audiences
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strategies that balance the tradeoff between privacy and utility in continual, federated, and distributed settings. Your primary responsibility will be to conduct original, high-quality research in trustworthy
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cancer. The goal will be to find genetic prediction models to be able to predict which childhood cancer patients have a high or low risk of toxicity in childhood cancer. Preliminary the doctoral project