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will deliver projects that leverage large-scale electronic health record data and rich cytometry data derived from full blood count analysers to develop and refine machine learning models to improved
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their knowledge in this area. This may include developing autonomous electromagnetic warfare systems to evaluate the effectiveness under hypothetical electromagnetic defence and offence strategies under uncertainty
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project on Addressing socio-technical limitations of Large Language Models (LLMs), particularly for medical and social computing (https://adsolve.github.io/ ). The role involves developing methods
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and development of the research programme. The successful candidate will undertake the research investigations under the supervision of the Principal Investigators and in collaboration with other
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(QMUL). The researcher will be working under the supervision of Prof. Matteo Palma (QMUL): see http://research.sbcs.qmul.ac.uk/m.palma/. We have developed different nanohybrids platforms interfacing low
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including cell culture, organ-chip models, tissue engineering, and musculoskeletal biology. The PDRA will plan and conduct experiments, generate high-quality data, prepare publications, make presentations and
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of murine models of high-grade lymphoma with the aim of providing pre-clinical evidence to support the development of metabolic inhibitors as novel treatments for lymphoma, alone or in combination with
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of cardiovascular, endocrine and inflammation science. The fundamental mission of the FMD is to ensure that the best possible clinical service is underpinned by the very latest development in scientific and clinical
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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
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to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment policies, flexible working