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leveraging cutting-edge genomic technologies and bioinformatic tools, this project will compare the systemic responses to sea lice across resistant and susceptible salmonid species and populations
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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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. Whilst full training will be given, previous experience with tissue culture, analysis of genomics data, bioinformatics approaches or previous use of relevant platforms such as R, are desirable
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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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V236E (ε3), which reduce the risk of AD by 2–3 times. This project will use bioinformatics and big data and induced pluripotent stem cell (iPSC) models —cells generated in the lab that can mimic brain