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and how this may be improved. This will include participant recruitment through various means, data acquisition (primarily through individual semi-structured interviews), data analysis, and working with
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of an understudied language based on data collected first-hand. Extensive expertise in qualitative analysis of the morphosyntax of an understudied language based on data collected first-hand. Experience with the study
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of Biomedical Engineering & Imaging Sciences. About The Role The research associate will lead the development of cutting-edge multi-modal MRI foundation models. These models will leverage both imaging data and
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students where appropriate. Supporting the project’s innovation, impact, and commercialisation pathways under the CREWW framework. About you The successful applicant will be able to present information
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parameter, representing the elementary act of writing a bit of information. As THz photons exactly match the excitation energy, this represents the optimally energy efficient switching regime, avoiding
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cancer, using advanced imaging and data analysis. In this role, you will: Develop and apply AI tools to analyse eye images Work with hospitals across the UK to collect and study patient data Help create
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-scale single-cell data from primary human tissues, spatial transcriptomic data, and experimental genomic screens. The postholder will join a multidisciplinary team based in the Institute of Developmental
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project lead Dr Janice Attard-Johnson and with co-lead Professor Sarah Bate to prepare materials, design and programme experiments, participant recruitment and data collection, develop and conduct
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hyperparameter optimization and conformal prediction methods; The online monitoring of model reliability and performance indicators in dynamically changing environments; The integration of synthetic data from
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of routinely collected maternity data and can be linked with other health datasets in south London such as the records of the local mental health Trust using the Clinical Record Interactive Search