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Excellence (NICE ) alongside an active programme of other research, including cost-effectiveness analysis in the context of clinical trials, evidence synthesis and decision modelling. About the role You will
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We seek a Research Fellow with a proven publication record to develop resistivity models from marine controlled source electromagnetic (CSEM) data to be acquired in February-March 2026 and to
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Are you keen to pioneer machine learning models that address the challenges of robot perception? We are recruiting a research fellow who will work on our EPSRC-funded research project on “Active
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We seek a Research Fellow with a proven publication record to develop resistivity models from marine controlled source electromagnetic (CSEM) data to be acquired in February-March 2026 and to
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Research or Psychology. You will have a detailed understanding and knowledge of statistical modelling and of software packages for carrying out statistical modelling, e.g., Stata, R, SAS, SPSS. Meticulous
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develop scalable advanced cell models for primary ciliary dyskinesia (PCD), including CRISPR-Cas 9 editing of a ciliated airway cell line. Characterisation of the models will confirm genetic, molecular and
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, ranging from AI to novel geometry modelling techniques. While this position is initially for a fixed term period, depending on the success of the role, opportunities will be explored to extend it beyond
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and team working. The project offers opportunities to apply skills in qualitative data analysis of survey data, complex regression modelling and predictive data analytics. The role You will join an
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state-or-the-art R J Mitchell wind tunnel , producing a flight dynamics simulation model and training an adaptive neural flight controller using our High Performance Computing facility Iridis , conducting
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, MediaPipe, Blender) with radar signal models, generating synthetic radar datasets, and validating them with real-world measurements from radar hardware. As part of the team, you will: Build and validate radar