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Project Title: Intrinsically-aligned machine learning In a truly cross-disciplinary effort, this project, funded by the Leverhulme Trust and in collaboration with the University of Manchester, will leverage
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Storm sequences such as ‘Dudley’, ‘Eunice’ and ‘Franklin’ inflict flooding and extreme winds upon the UK and Northwest Europe resulting in losses of billions of GBP and multi-sector impacts (e.g
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adaptations, IAQ, overheating, and children and young persons health, and how interventions can be implemented to align health, environmental, and justice co benefits in UK schools. The project will use systems
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-value reinforcements in their short and randomly aligned form. A key challenge to the effective reintegration of recycled carbon and glass fibres into high-performance products lies in achieving scalable
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of bacteria in the human gut, in-depth work with next-generation as well as 3rd generation sequencing technologies, then this PhD will be right for you. The ideal candidate will enjoy learning about metagenomic
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subtype stx2a is linked to a higher chance of this progression and sequence-based surveillance has indicated increasing acquisition of this subtype across genetically diverse E. coli. In this project, we
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Each year, approximately 6,000 people in the UK are diagnosed with multiple myeloma. Despite advances in therapy, infections remain a leading cause of morbidity and early mortality in these patients
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mechanisms of the sexual conflict and its resolution. You will combine cutting-edge bioinformatics, genome engineering, and state-of-the-art sequencing technologies to: Identify and characterise consistent
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streams across the continent, multiple differently coloured catfish communities coexist, forming diverse mimicry “rings.” This project will use whole-genome resequencing to tackle three key questions: Which
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to the interior of the cell. GPCRs are involved in multiple physiological process including cell growth, neurotransmission, metabolism & immune response; they can misfunction in disease and consequently have served