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Field
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, in particular, collecting and analysing AI-assisted human choices and deliberation data. You will be excited to explore the opportunities and risks of large language models for AI assistance of human
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AML, by employing an integrated molecular approach encompassing RNA-seq, ChiP-seq and mouse modelling coupled with gene silencing technology. The post is based in the Faculty of Health and Medical
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for analysis of routinely collected healthcare data. They will have experience in designing and implementing economic evaluation models, including decision-analytic modelling, and good knowledge
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website. A copy of the proposal on which the project is based is available from Professor Nigel Gilbert n.gilbert@surrey.ac.uk who is also able to answer questions about the research. Further details Job
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optimise models of traumatic injury to determine changes in the fibrinolytic response due to the type of injury. Additionally, you will study platelet activation, aggregation and secretion to understand how
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evaluate field characterisation and monitoring data to develop geothermal resource models for individual project demonstration sites. About the person: Successful candidates need to: Have a PhD in Geology
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, conducting simulation studies, analysis of datasets from economic and social research studies, software implementation and delivery of workshops. The Research Fellow will be supervised by Prof. Jonathan
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Assurance and verification offerings for AI are fragmented and target specific areas of AI lifecycle (e.g. model assurance or prompt injections) without offering a unified view of the security
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paediatric AML, by employing an integrated molecular approach encompassing RNA-seq, ChiP-seq and mouse modelling coupled with gene silencing technology. The post is based in the Faculty of Health and Medical
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systems, ML model training, and model deployment, and demonstrated record of advising non-technical stakeholders on technical topics. Excellent communications skills, previous experience of contributing