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We are now recruiting 2 full time Research Fellows to work with Stephen Farrall and colleagues at Warwick (Emily Gray) and Queen Mary College, University of London (Maria Grasso) on their research into politics and crime. The research is funded by the Leverhulme Trust. The School and the...
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Dependent type theory is a foundation of mathematics that allows us to mechanise arguments, and is closely related to higher category theory. It serves as that basis of programming languages and proof assistants. The current project aims to make progress in the field of dependent type theory...
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, will study the drivers of relapse in acute myeloid leukaemia (AML) with the goal of improving treatment options in this poor outcome cancer. You will perform and analyse next-generation sequencing
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Council, will study the drivers of relapse in acute myeloid leukaemia (AML) with the goal of improving treatment options in this poor outcome cancer. You will perform and analyse next-generation sequencing
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that conjugating siRNAs to peptides that bind receptor X will enable targeted delivery of disease-modifying agents directly to affected joint cells. This project will: 1. Identify optimal siRNA sequences
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Multiple Long-Term Conditions (MLTCs). It has a particular focus on research that is highly relevant to disadvantaged communities who are most impacted by MLTCs. It is led by a multidisciplinary team of
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with sequencing bacteria in the laboratory. Key attributes of the successful applicant include: Experience with REDCap: setting up databases Experience of working in a healthcare setting, medical research
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with sequencing bacteria in the laboratory. Key attributes of the successful applicant include: Experience with REDCap: setting up databases Experience of working in a healthcare setting, medical research
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, the development and fine-tuning of vision foundation models, multiple instance learning, survival analysis, and interpretable model development. You will also lead efforts in building multimodal deep learning
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, the development and fine-tuning of vision foundation models, multiple instance learning, survival analysis, and interpretable model development. You will also lead efforts in building multimodal deep learning