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asthma and related conditions both in the stable state and during exacerbation (ii) understanding the mechanisms that underpin the heterogeneity in response to anti-T2 therapies in asthma and conditions
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and machine learning. Topics of interest in this area include, but are not limited to: natural language processing, large language models, graph learning, prompt engineering, knowledge graphs, knowledge
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are not limited to: natural language processing, large language models, graph learning, prompt engineering, knowledge graphs, knowledge engineering, linked data, web technologies. About the role
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this role, we are looking for candidates to have a PhD in immunology, cardiovascular science, haematology, or a closely related field, with hands-on experience of cellular and/or molecular approaches
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equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information. About You To be successful in this role, we are looking for candidates to have a PhD in immunology
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for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in spatial epidemiology, quantitative
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and experience: Essential criteria PhD in applied mathematics, statistics, engineering, computational biology, econometrics, or a related discipline. Experience in developing complex models using real
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research and education, with a focus on understanding the mechanisms of disease and developing new therapies. This role is located within the prestigious Roger Williams Institute of Liver Studies, where our
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and experience: Essential criteria PhD Degree in a relevant area of the social sciences or humanities (e.g., history, sociology, anthropology, geography, political science, science & technology studies
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following skills and experience: Essential criteria PhD Degree in a relevant area of the social sciences or humanities (e.g., history, sociology, anthropology, geography, political science, science