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Field
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within medical imaging and computational modelling technologies. Our objective is to facilitate research and teaching guided by clinical questions and is aimed at novelty, understanding of physiology and
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Research Associate position in the Department of Engineering, with a focus on undertaking both experimental and numerical studies within the hydrogen research hub (HI-ACT) funded by EPSRC. The project seeks
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cognitive neuroscience and imaging background, with an interest in connecting brain data to cognitive theories of compulsivity. You should also have a rich experience with neuroimaging methods and data
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offences. The project will take a multi-method approach using methods in experimental psychology and psychophysiology. You will play a key role in designing experimental paradigms for the collection
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within medical imaging and computational modelling technologies. Our objective is to facilitate research and teaching guided by clinical questions and is aimed at novelty, understanding of physiology and
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transport for inverse problems One of the central topics of the research projects is the further development of theory and methods for the concept of optimal transport for inverse problems. Optimal transport
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Mental Health Younger Generations Programme. You will work with a friendly, supportive, passionate, and hard-working group to undertake statistical analysis of quantitative data to test hypothesis
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Colorectal Cancer - Stratification of Therapies through Adaptive Responses (CRC-STARS) programme, developing and applying cutting-edge mathematical methods to spatial transcriptomics imaging data in order to
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to work on a project investigating mechanosensing in flies (Diptera). This post will focus on using detailed wing geometry models and free flight kinematic measurements in computational fluid and structural
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methods for their formulation and delivery. As such the project addresses urgent global challenges in sustainable agriculture and food security. By developing our technology, the research aims to reduce