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to linked data. The overarching goal will be the integration of routinely collected data (e.g. molecular genomic data with clinical data from electronic health records) to address specific research questions
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your academic profile in a friendly, supportive, and dynamic centre, with the possibility of contributing to scholarly and policy publications, research seminars and transitioning into a PhD and/or
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and modelling techniques. Real-World Impact: Contribute to transformative technologies in clean energy and carbon capture. Future job opportunities: Digital modelling and computational fluid dynamics
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, especially within the cancer domain. The goal is to identify causally relevant links between tissue morphology and molecular profiles, potentially leading to new biomarkers or therapeutic targets. Objectives
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realistic degradation from corrosion processes. The simulations will be integrated with mesoscale experimental to evaluate the constitutive response of smooth specimens degraded by corrosion. Given
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Type of award Studentship Managing department Faculty of Humanities Value Tuition fees An annual maintenance stipend (£19,237 per annum for 2024/25) Successful candidates will join a dynamic
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treatment, material and energy flow analysis, integrated data modelling, systems dynamics modelling, circular economy, sustainability assessment performance, decision-support tool design Month when Interviews
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to the project. Degree transcripts/certificates and, if English is not your first language, a copy of your English language qualification if completed must be uploaded. Contact Details Prof. G.Tasca, giorgio.tasca
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filled The overarching aim of this project is to find synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application
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in both technical and potentially non-technical skills of medical staff, such as poor team dynamics, problems with communication and a lack of leadership. This automated obtained data can then be fed