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validate numerical simulations, generalize experimental observations, and offer insight on the response of selected case studies. You should hold a PhD/DPhil (or be near completion) in numerical modelling
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radiation of major groups and the impact that plants had on the Earth System. One approach to overcome the limitation of the fossil record is to use deep time ecological modelling to help simulate the early
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, and conducting large-scale quantitative analyses of semantic change. You will work closely with Latin linguists to integrate linguistic insights into computational models and help build open-source
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, and conducting large-scale quantitative analyses of semantic change. You will work closely with Latin linguists to integrate linguistic insights into computational models and help build open-source
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health. Specifically, our approach combines finite element modelling and medical image analysis. Our finite element brain models are based on tissue segmentation and our numerical simulations are validated
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science, nonlinear optics, sensing, advanced imaging techniques and numerical modelling. About the role A successful candidate will join the EPSRC funded project “Catalysis meets plasmonics: New
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production using historical and future climate simulations. The candidate will be expected to be responsible for conducting model simulations, interrogating results and integrating new processes and mechanisms
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response, and patient stratification. As clinical diagnostics move toward more personalised and preventative models, it is increasingly vital that sampling approaches are minimally invasive and patient
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stratification. As clinical diagnostics move toward more personalised and preventative models, it is increasingly vital that sampling approaches are minimally invasive and patient friendly. This role contributes
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Christopher Yau (http://cwcyau.github.io ) at the Big Data Institute, University of Oxford. This post will contribute to the development of a new simulation-based pre-training framework for building more robust