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About the Role As a Teaching Fellow on the Digital and Technology Solutions degree apprenticeship programme at Queen Mary University of London, you will contribute to the intellectual life
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Science and Services. You will be expected to enhance the department’s reputation through scholarship in clinical activities and teaching. You will achieve this by delivering professional services within
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sequencing data from individuals with the C9orf72 repeat expansion. This post requires extensive experience in analysis of genomic data, supported by a PhD. They will support the development and applications
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environment, home to 450 staff, 100 PhD students and 500 postgraduate taught students. It harnesses expertise across a wide range of population-based research and education activities and is an internationally
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regional leadership in the area. They will support the Unit’s high- performance computing facility–Uganda Medical Informatics Centre(UMIC) project. The post-holder will develop and implement bioinformatics
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order to gain novel understanding of the molecular mechanisms underlying disease. About You You will have a PhD (or equivalent qualification) in computer/statistics/data science or similar field. You will
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funded by UK Research and Innovation (UKRI), this programme is part of the government’s strategic effort to position the UK at the forefront of global AI expertise. Our goal is to train PhD researchers
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to global health, gender violence and violence in childhood, and medical humanitarianism. We offer a vibrant and diverse research degree programme, with over 100 PhD and DrPH students from more than 40