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characterisation of extracellular vesicles (EVs) from a range of sources as well as high content microscopy and cardio-metabolic phenotyping in rodent models. Our main research interest is in understanding how
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an objective and consistent method of measurement. The implication of this is a mechanism through which customer and supplier can agree on model quality. Furthermore, the outcome will inform the development
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to the advancement of AI applications in biological sciences. This role presents a unique opportunity to work with pangenomic datasets while exploring the application of Large Language Models (LLMs) and machine
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. The study will involve the use of iPSC-based models to elucidate molecular mechanisms and biosamples from patient cohorts to validate biomarkers. As such, the post will offer an excellent opportunity
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to chemo/radio-therapy and therapeutic/preclinical DDR inhibitors within a cohort of matched GSC heterogeneity models within the Sheffield Living Biobank of patient-derived primary glioma stem cell-like (GSC
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Environment Research Council (NERC) and the Advanced Research + Innovation Agency (subject to contract negotiations), in the atmospheric chemistry-climate modelling research groups of Prof Alex Archibald, Prof
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with the possibility of renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly
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work on the development and implementation of machine learning models aimed at detecting urban drainage infrastructure components (such as stormwater drains, sewers, and manholes) from publicly available
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models of prototypes. Fabricate these prototypes and help characterising them acoustically. Contribute to potential IP generation. Contribute to commercialisation and impact activities. Ensure consistency
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://www.cerebranetwork.com/ In your application please include a cover letter stating how you match the person specification. Role Summary Work within specified industry grant and charity funded project Oversee and contribute