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Chris Holmes, the centre will initially focus on the following thematic areas: • Decision analysis under model misspecification • Uncertainty quantification around LLMs
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effects. You will contribute to the numerical modelling part of the project, which will benefit from novel element level and centrifuge testing experimental results. You will set up and validate numerical
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, such as sedimentation, meltwater flow, and vegetation change, into active drivers of adaptive design. This interdisciplinary work combines advanced computational tools, including 4D point cloud modeling and
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and develop skills in the growth of cultured tissue, an area of growing academic and industrial interest Opportunities to develop skills in biophysical models of tissues and deep learning techniques Key
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develop statistical and machine learning models to identify and validate predictive biomarkers of resistance evolution in Pseudomonas aeruginosa lung infection. As part of this work, the postholder will
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-Royce and is fixed term for 6 months with possibility of extension. Ice accretion is a serious threat to civil aviation but also a challenging phenomenon to model. Recent progress in the field has
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-Royce and is fixed term for 6 months with possibility of extension. Ice accretion is a serious threat to civil aviation but also a challenging phenomenon to model. Recent progress in the field has
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Postdoctoral Research Associate in Solid-State Modelling ( Job Number: 25001351) Department of Chemistry Grade 7: - £38,784 - £46,049 per annum Fixed Term - Full Time Contract Duration: 36 Months
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models to study direct interaction between macrophages and other tissue resident cells. Additionally, you will test hypotheses and analyse scientific data from a variety of sources, reviewing and refining
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, spatial, and social data into digital twin models for scenario testing and policy simulation. Adapt co-design methods to local contexts in demonstrator sites (Portugal, Sweden, Italy). Contribute to policy