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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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is Prof Cally Tann. We are seeking a Research Fellow in Early Child Development & Disability to coordinate the development, implementation and evaluation of the programme, including: mixed methods
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multidisciplinary collaboration between LSHTM, the Met Office, Oxford Brookes University, UCL, University of Exeter and University of Leeds that will inform the development of solutions for temperature-related health
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Major Centre (with UCL, Kings and the Francis Crick Institute). BCI is committed in supporting and developing future cancer researchers through its extensive postgraduate training About Queen Mary
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of a large multidisciplinary collaboration between LSHTM and Oxford Brookes University (lead partner), UCL, LSE, University of Leeds, University of Edinburgh, and a wide network of UK stakeholders
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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