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Main Information: The University of Exeter’s Department of Biosciences is inviting applications for a PhD studentship funded by CEFAS and the Faculty of Health and Life Sciences to commence on 22
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epidemiology, microbial genomics bioinformatics (coding skills) to assess measles evolution and diversity and implement your findings directly into WHO public health infrastructure (MEaNS database) to be used by
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bioinformatic tools and focused on clear interpretation and communication of this data. This project is part of an exciting new Doctoral Training Programme in Microbial Genomics for Health Protection in
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Nanopore sequencing, ChIP-seq, and Hi-C, to probe plant genomes and centromeres. The project will involve both wet-lab based functional genomics approaches, together with dry-lab based bioinformatics
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bioinformatic tools and focused on clear interpretation and communication of this data. This project is part of an exciting new Doctoral Training Programme in Microbial Genomics for Health Protection in
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, PhD students, clinicians and computer scientists who will all support the studentship. The successful student will be further supported by members of the wider 4th floor research groups and existing
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sequencing (NGS), and bioinformatics analysis is highly desirable. You will join a multidisciplinary team of approximately 15 experienced chemists, chemical biologists, and molecular/cell biologists based in
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meet the following criteria: Essential Qualifications: Applicants for PhD must have a first-class or upper second-class undergraduate degree (or equivalent) in Neuroscience, Biochemistry, Bioinformatics
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Science, Bioinformatics, Epidemiology, or a closely-related area, or else a lower second-class degree followed by a relevant Master's degree. They must have a strong background in mathematical modelling and an interest in
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Hertfordshire County Council to start in October 2025. The overall aim of this PhD project is to understand how indoor air quality (IAQ) affects the health of children and adolescents, including their mental