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View All Vacancies School of Computing & Mathematical Sciences Location: Greenwich Campus Salary: £37,099 to £42,978 plus £4069 London weighting per annum Contract Type: Fixed Term - November 2025
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-based statistical inference and the use of relational databases, or candidates with a PhD or similar in computational science or mathematics, and an interest in archaeology. We will consider candidates
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of Faculty member Hubie Chen. The successful applicant should have (or expected to receive) a PhD in Computer Science, Mathematics, or a related discipline. Research interest and experience in the following
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partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice. We are looking for an enthusiastic, productive mathematical modeler
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partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice. We are looking for an enthusiastic and productive mathematical modeler
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postgraduate degree, ideally a doctoral degree, in a relevant topic and relevant experience in mathematical modelling, health economics, epidemiology, statistics or another relevant discipline with a strong
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to explainability, based on attention mapping, as well as develop novel mathematical tools aimed at improving transparency of clinical AI. The development of these 3 lines of research, will be facilitated by bench
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clinical AI. Explainability – the postholder will apply standard approaches to explainability, based on attention mapping, as well as develop novel mathematical tools aimed at improving transparency
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opportunity to shape the research agenda of the project, explore their own ideas, and work with a wide pool of collaborators from the physical, mathematical and biological sciences. The successful candidate
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Subject. The department of Curriculum, Pedagogy and Assessment is a world-leading centre for economics, geography, business, mathematics, science and humanities education. A core strength of the Department