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possible start date, based on the end date of the grant, is 09/10/2027. The successful candidates will be members of the Infectious Disease Modelling research group (https://www.maths.ox.ac.uk/groups
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. This work utilizes advanced epidemiological modelling combined with AI methods for adaptive rather than static surveillance design. This project is particularly exciting because it combines new advances in
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Springmann, you will develop and apply global food-system models, integrating data and methods from across disciplines to assess pathways towards healthier and more sustainable diets. You will contribute
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candidate will conduct hands-on empirical research that embraces both experiments and modelling and be responsible for three stands of research (i) using industrial data (and working with industry) to model
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), multimodal vision and language models, and Large Language Models. Please find prior work here: (Google Scholar: https://scholar.google.com/citations?hl=en&user=oEifmSgAAAAJ&view_op=list_works&sortby=pubdate
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. The project will develop methods and approaches using novel polymerisation to produce 3D porous materials to enable 3D cell growth and bioengineered in vitro models. The successful candidate will join the
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manufacturing. The role sits within the £13M EPSRC Hub for Advanced Long-Acting Therapeutics (HALo) (https://www.liverpool.ac.uk/celt-global-health/halo/), a nationally leading initiative spanning universities in
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novel methods across evolutionary analysis, mathematical modelling, micro-scale experiments and 3D printing. You will have a PhD (or close to completion) in biophysics, bioengineering, mathematical
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Best! This project brings together experts from civil engineering, building modelling, and social science to explore new horizons in low-carbon construction. Stakeholder collaboration is key to ensuring
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experiments in gelatine (https://doi.org/10.5194/egusphere-egu25-9211). This model will be tested with analogue experiment results from the MAGMA Lab, run by other members of the project team. The second