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. Research will focus on identifying and publishing results in methods to build foundation models, using multimodal and multiscale health data. The role is funded for 24 months in the first instance. About You
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-term carbon cycle and over the coming century. This PDRA position will focus on model approaches to quantifying CO2 exchanges associated with chemical weathering associated with the warming cryosphere
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modeling including graphical causal modeling and methodological foundations of the study of technology governance. The research will involve safety cases for AI systems as well as broader aspects of model
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of 24 months. The project aim’s to develop new constitutive models to describe the mechanical behaviour of Thermoplastic Elastomers (TPEs). These polymers are increasingly being developed as a
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The post-holder will join a team of investigators working on the NERC-funded Pushing the Frontiers grant ‘Influence of complex source and environmental source conditions on eruptive plume height
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experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally efficient deep learning Deep learning model generalisation techniques. Translating deep learning models
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/statistical modelling, numerical/data analysis, and programming using Python or other languages a motivation to engage in systems approaches to understand complex risks Contact details for advert Contact Name
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machine learning, language modelling, computer vision, or applied AI. Familiarity with large, complex datasets and prototyping tools. Experience in successful grant writing. Why Join Us? This is a unique
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migration and in vivo murine models of inflammation and technical expertise in complex flow cytometry is essential. The previous ability to work with rodents would be advantageous, whilst experience in
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experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally efficient deep learning Deep learning model generalisation techniques. Translating deep learning models