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network including epigenetics experts (QMUL Centre for Epigenetics), cardiovascular geneticists (Prof. Patricia Munroe) and computational collaborators (Dr. Camille Berthelot). About You We seek
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as well as working with collaborators, and proven ability to work with community partners. It is anticipated they will complete a PhD as part of this post. The post is fixed term until 30 September
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and to fellow specialists. About the School This post is within the School of Engineering and Materials Science, a large School with 108 academics, more than 250 PhD students and over 2500 undergraduate
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of a team. About You The candidate should have a PhD and ideally post-doctoral experience in an area relevant to the project, a productive track record, and experience covering the full range of duties
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to refereed journals, and work with and help supervise BSc, MSci, and PhD students. The successful applicant will have a PhD in Astrophysics, Theoretical Physics, or a related discipline and prior experience
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to classify unseen conditions without or with limited training samples, in order to tackle data sparsity issues. Applicants should have the equivalent of a PhD/MSc degree from Computer Science with research
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degree, who hold an ACVECC Diploma. A background in research work in one of the College’s areas of special interest or hold a PhD, although desirable, are not essential. We offer a generous reward package
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of the research project and develop new areas of research. The post-holder will be expected to undertake a higher degree such as a PhD during the fellowship. About You The applicant must be a medically qualified
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degree, ideally a PhD, in health economics, medical statistics, data science, epidemiology or a related field. A clear conceptual understanding of causal inference methods such as instrumental variable
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September 2025. About You You will have recently completed a PhD in Development Geography, or a related field, and have some relevant teaching experience in a university context. You will also have experience