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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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. As an essential part of the project team, you will work on: Designing and testing novel metamaterial unit cells tailored for transformer enclosures. Numerical modelling using advanced FEM/BEM
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fluorescent activated cells sorting (FACS)-based screens using iPSC-derived neuronal models of HSP. The lab employs an integrated approach that combines state of the art cell biology, biochemistry, proteomics
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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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tailored for transformer enclosures. Numerical modelling using advanced FEM/BEM techniques to evaluate vibro-acoustic performance. Experimental field/laboratory testing of large-scale prototypes in real
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health, and bioinformatics. You will apply advanced AI methods - from classical machine learning to large language models and agent-based AI - on large-scale healthcare datasets, including structured
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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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expertise in agricultural science or farm economics to conduct whole farm systems and economic modelling. This position offers you the opportunity to work with a multidisciplinary team across diverse
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modelling. This data is used by investors to inform engagement strategies, assess portfolio alignment, and drive capital toward credible transition leaders. This role is to provide high-quality analysis by