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should have a thorough understanding of respiratory immunology and particularly eosinophilic and T2 immune pathways including mast cell, Th2, ILC2 and epithelial related processes in asthma. It is expected
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the lives of patients and their families. For many patients’ medication is ineffective and surgery is the only curative treatment. However, surgery requires confident knowledge of the location
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and machine learning. Topics of interest in this area include, but are not limited to: natural language processing, large language models, graph learning, prompt engineering, knowledge graphs, knowledge
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of the recruitment process. Further Information We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community. We
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found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Further
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are not limited to: natural language processing, large language models, graph learning, prompt engineering, knowledge graphs, knowledge engineering, linked data, web technologies. About the role
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additional development opportunities including supervision of postgraduate research students. The post holder will be supported to seek and identify additional sources of funding, contribute to the process of
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platelet activation during inflammation is a critical process that does not carry operational redundancy; 2, targeting biased P2Y1 signalling associated with inflammation eliminates side effects associated
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at each stage of the recruitment process. Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In
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participant records, and ensure timely collection and processing of biological samples in line with SOPs and GCP. The role requires excellent communication skills, with responsibility for maintaining effective