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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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subject to funding. About you We are asking candidates to demonstrate their experience on the following criteria: PhD, or in the final stages of obtaining a PhD, in a relevant area of social science (e.g
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for candidates to have the following skills and experience: Essential criteria PhD in Biological/Biomedical sciences * Evidence of excellent research productivity - primary author in scientific publications and
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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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data science techniques to model and classify population health risk and disease dynamics at multiple spatial and temporal scales. The PDRA will lead the development of novel approaches for managing
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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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scientist who has obtained a PhD and has already accumulated some post-doctoral experience in the field of type 2 immunity as applied to asthma and related upper and lower airway conditions. The applicant
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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
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social science research methods, including qualitative methods (e.g. interviews, ethnographic methods, documentary and policy analysis). Excellent writing and communication skills, with experience writing