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process modelling. The ideal candidate will possess a strong numerical background with proficient programming skills and a proven research record through publications and code development. Experience in
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worldwide network of collaborators. About you Crucial skills include prior experience working with patients, particularly those with dementia or other cognitive disorders. Desirable skills include experience
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process modelling. The ideal candidate will possess a strong numerical background with proficient programming skills and a proven research record through publications and code development. Experience in
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impact. Adept at effective outreach and networking in support of the CoE's ongoing growth within the UK's materials landscape. Willing to work within the UK Defence Landscape. Willing to be security
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. Expertise in artificial intelligence and machine learning. Recent research experience in the development of first-principle wave models. Recent research experience in the development of numerical codes
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hydrogen-fuel energy systems for various net-zero applications. Additionally, they focus on multiscale materials modelling combined with experimental approaches for use in a range of sustainable
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., generative AI, speech/audio signal processing, machine listening or immersive media Strong communication skills, documenting research code/data, stakeholder reporting, and collaborating across technical and
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closely with researchers across the groups at Imperial College London, the University of Surrey, King’s University, and with the broader worldwide network of collaborators. About you Crucial skills include
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across the study team including: overseeing data transfer agreements between institutions; version-controlling and archiving code and leading data cleaning, harmonisation and analysis. Throughout
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Faith Gibson. The James Lind Alliance Teenage and Young Adult Cancer Priority Setting Partnership (PSP) research priorities were published in 2018 (final report available from: https://www.jla.nihr.ac.uk