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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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techniques, theoretical modelling, and precise synthetic control – have significantly improved the activity, selectivity, and stability of CO₂-to-alcohol conversion. Key catalyst systems include Cu-based
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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into the learning dynamics and learnt features of neural networks, this research has the potential to significantly improve the interpretability and reliability of AI models. Enhanced interpretability will enable
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as your proposed principal supervisor, and copy the link to this scholarship website into question two of the financial details section. About the scholarship We are seeking PhD candidates with high
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copy the link to this scholarship web page into question two of the financial details section. About the scholarship Diabetes foot disease is a somewhat silent but leading cause of the world’s health
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financial barriers to achieving theoretically optimal city sizes using qualitative methods, including stakeholder interviews and policy analysis. Integrating Theory into Dynamic Models Embed the sustainable
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proposed principal supervisor, and copy the link to this scholarship wesbite into question 2 of the financial details section. About the scholarship Neuropathic pain effects “1 in every 10 adults over
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models at many scales including electron dynamics, soft-matter physics, materials-biomolecules interaction and device physics exploiting the collaboration with a multidisciplinary team of theoreticians and
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submission dynamics, despite it identified as being a key dimension of couples’ interaction that presents in couples therapy (Greenberg & Goldman, 2008). Developing a task-analytic model of the process of