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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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both independently and as part of our dynamic research team. The Microbes, Microbiomes and Bioinformatics (MMB) Doctoral Training Partnership (DTP) is open to UK and international candidates with
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between chromosome structure and conformation in the bacterium Acinetobacter baumannii, and how these impact upon antibiotic resistance and virulence. The Microbes, Microbiomes and Bioinformatics (MMB
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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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will use cutting-edge molecular and bioinformatic approaches and utilise a unique bacterial strain collection we have assembled. You will join a large community of molecular microbiologists within
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CRISPR, bioinformatics and state-of-the-art bioimaging to analyze the impact of disease-related genetic variants in Drosophila. The goal is to create an efficient pipeline for rapid, higher-throughput
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the University of Edinburgh and potentially other museums. We are looking for someone interested in conservation genomics, working with museum specimens and a desire to develop bioinformatics/data
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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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We are looking for a motivated and curious PhD student with a background in computational biology, bioinformatics, or genomics to join our research team. This exciting project, funded by
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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