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Leedham (colorectal cancer biology), Dan Woodcock (cancer genomics), Helen Byrne (mathematical modelling), and Jens Rittscher (computational pathology and imaging AI), offering a unique opportunity to work
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-of-the-art human model systems including: Primary patient-derived cell lines Pluripotent stem-derived neurons and organoids. Human brain organotypic slice culture Isolated human brain cell fractions Alongside
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the planning, delivery and review of engaging, inclusive, and effective English sessions across all relevant programmes. Work alongside English teachers and course leaders to model and share best
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will combine the above-mentioned techniques to characterise the mechanical competence of paediatric bones and to provide a unique dataset to inform and validate computational models that aim
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(ML), Deep Learning (DL) and Large Language Models. Ability to build strong, productive relationships across people with various backgrounds and positions in their organisations. Proven expertise in
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would be advantageous. Experience focused on novel semiconductor devices or training ML models is not particularly relevant for this role. It should be possible to take someone with extensive experience
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. Our working model arrangements are a non-contractual benefit so please note that an Arden work location is added to our employment contracts. About Arden University: We are an aspirational and multi
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for a specific purpose. Our working model arrangements are a non-contractual benefit so please note that an Arden work location is added to our employment contracts. About Arden University: We
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that may well deliver on this goal but require rigorous research at limited scale to provide our models with the data needed to ensure predictions are robust. The REFLECT team is undertaking a programme of
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across ELFT and identify key stakeholders working in maternal child health, ii) contribute to evidence synthesis on models of care for maternal and child health in low resource settings locally and