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opportunity for an enthusiastic and motivated postdoctoral fellow in data-sciences and biomedical informatics to work on exciting human and veterinary health studies, such as the identification of novel
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particularly suited to candidates with a strong quantitative background. We welcome applicants with training in mathematics, statistics, health economics, computer science, or epidemiology, particularly those
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the essential criteria for the post, which includes: Have or be about to obtain a PhD in computer science, engineering, mathematics or physical sciences area. Recent high quality research experience in
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be close to completing a PhD in computer science, mathematics, or a related area with a topic close to type theory or constructive mathematics. Expertise can be evidenced through publications
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London Institute for Mathematical Sciences, Research Position ID: London Institute for Mathematical Sciences-Research-POSTDOC [#28989] Position Title: Position Type: Postdoctoral Position Location
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of women in science, mathematics, engineering and technology. We strongly support UCL’s Equalities and Diversity Strategy, and encourage applications to our vacancies from under-represented groups. Customer
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candidate will work on an interdisciplinary Human Frontier Science Programme grant to unravel the functional ecology of heterotrophic protists, combining behavioural assays, ultrastructural and morphological
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search using vacancy reference B02-09130. About you You will have a PhD in Computational Biology, Applied Mathematics, Statistics, Biostatistics, Epidemiology, Bioinformatics, Computer Science
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needs. In addition, your role might involve supporting existing initiatives, organising workshops, proposal development and writing. PhD in Engineering, Physics, Mathematics, Computer Science or a closely
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obtaining, a PhD in computer science, engineering, mathematics, or a related physical sciences discipline, with research expertise in areas such as hardware-aware AI security, approximate computing, or secure