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. To be successful in this role, you will have: A PhD (or nearing completion) in Physics (e.g. atomic physics, quantum optics, or solid-state physics) or closely related fields. Proven expertise in
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. You will also be responsible for implementing the model as a computer simulation and analysing it within a health-economics framework using standard computational techniques. You will also be
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/Fellow who can deliver the research whilst helping to manage project delivery. Candidates must hold an appropriate social science degree level qualification and a PhD (or be about to obtain a PhD, which
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the Medical Research Council. The Research Fellow will be using Natural Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of
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CRISPR and other molecular genetic technologies to study infection dynamics. Analyse Complex Data: Apply computational and biostatistical methods to analyse large data. Collaborate Across Disciplines: Work
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properties of vibrational sources in large built-up structures, such as cars or airplanes. We will incorporate data from measurements and implement these sources into large-scale structure-borne sound
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to data analysis and biological interpretation. Role Summary Develop, implement, and apply advanced reproducible computational tools and workflows to process, analyse, and interpret large-scale LC–MS-based
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Charter Gold Award. About the role The appointee will participate in a large, multi-institutional and multidisciplinary project part of the The Severe Presentation of Infectious Disease (SPID) Genomic
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/Fellow who can deliver the research whilst helping to manage project delivery. Candidates must hold an appropriate engineering or science degree level qualification and a PhD (or be about to obtain a PhD
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Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of Electronic Health Records from people with epilepsy across multiple NHS