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increase the reliability and performance of the existing ML workflows that underpin the PSIPRED workbench. One target here is to integrate novel bioinformatics foundation models to accelerate methods
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the quantitative analysis of branching behaviour using advanced microscopy and computational tools. The role also involves supporting computational analysis of transcriptomic datasets and assisting with
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EU grant funded project and will be involved in the development AI supported diagnostic tools and assessing off-the-shelf AI-assisted technology for ophthalmic analysis and data capture, in close
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sizes. You will be involved in establishing and maintaining organoid and whole organ cultures, imaging whole organs, and supporting the quantitative analysis of branching behaviour using advanced
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cell RNA-seq), of data analysis of data produced using single cell or bulk transcriptomics, of carrying out immunocytochemistry and of working with UK Biobank data for studies investigating ageing and
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. Quantitative and statistical software skills using standard statistical software (e.g. Stata, R) Qualitative skills using standard qualitative analysis software (e.g. Nvivo)
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, focus group, etc, and data analysis and manuscript preparation. This project will lay a foundation for understanding the problem of social and cultural change within digitalised research environments
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processes for gas capture, with experience or knowledge of material informatics and the analysis of large materials datasets. Demonstrable experience or knowledge of computational modelling and data
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restoring DEAF1 function may be beneficial. You will contribute to genetic and behavioural experiments, as well as transcriptomic studies and data analysis, to improve our understanding of how DEAF1
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rare opportunity to work across the complete development chain of a medical device: from designing the sensors, through the readout electronics and data analysis, to integrating the system with