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modelling to identify environmental predictors of mould growth preparing scientific publications, conference presentations, and project reports for stakeholder audiences supporting ethics applications, data
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methods and/or the parametrisation method knowledge of automatic differentiation techniques is highly advantageous familiarity with the mathematical modelling of biological, climate, or ecological systems
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multi-site time-series IEQ datasets, including clustering, regression, and statistical modelling to identify environmental predictors of mould growth preparing scientific publications, conference
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working on clinical trials, as well as contributing to the development of data-driven interventions and stewardship models to enhance patient outcomes after surgery. This position is an opportunity to work
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photobiomodulation interventions within clinical trials, as well as significant experience working with humanised mouse models in collaboration with the pharmaceutical company AstraZeneca. This is a research-only role
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when liaising with collaborative research partners. Your key responsibilities will be to: develop advanced modelling, novel material synthesis, processing, fabrication and manufacturing sequence