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analysed by bespoke machine-learning driven algorithms, combined with physical models, to de-noise images, identify features and correlate properties, giving critical insights into power loss pathways
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emulators of similar datasets (e.g. Gaussian Process methods by the project lead). These results will inform the IPCC AR7, and adaptation and mitigation policymaking by other global stakeholders. You will be
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research and associated activities are essential. A medical qualification and experience of analysing big data would be desirable. Diversity Committed to equality and valuing diversity Application Process
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social and sports clubs The post is only available as full-time. However, we can discuss flexible working hours (e.g. starting and finishing earlier in the day) to accommodate your needs. Working remotely
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human tumour models including organ/tumour perfusion, slice culture and organoids to ensure data is clinically relevant and to inspire the next generation of effective treatments. The post would suit
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The Department of Physics at Durham University is one of the leading UK Physics departments with an outstanding reputation for excellence in teaching, research and employability of our students. The Department is
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. Effective communication skills, both verbal and written, will enable you to engage confidently with collaborators, team members, and the wider research community. Your flexibility to adapt to changing work
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and molecular mechanisms that act within these sites, and to determine how these events lead to a balanced immune response in different conditions and physical constrains imposed by each organ
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(e.g. nanopore-based sequencing, reverse genetics, immunoblotting, luciferase-based assays, RT-qPCR, microscopy) to study virus evolution and innate/adaptive immunity in the context of viral infection
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is part of the Precision Musculoskeletal Care theme at the NIHR Biomedical Research Centre. The PDRA will help drive our activity in developing, validating, and testing a suit of new musculoskeletal