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workshops to enhance the collaborative network. Applicants should have a postagraduate degree, ideally a doctoral degree, in a relevant topic, relevant experience in bioinformatics, computational biology or
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in histology, in vivo work, data analysis and acquiring skills such as coding and bioinformatics. About Queen Mary At Queen Mary University of London, we believe that a diversity of ideas helps us
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bioinformatic and population genomic analytical strategies to sequence data of hosts, vectors, and pathogens across a range of infectious diseases, including malaria. Specific projects will include to understand
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in the use of mouse models in cancer or immunology research Experience in the use of bioinformatics to analyse large biological datasets Track record of writing papers as evidenced by publications
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of disease by shorten the pathway to enable precision medicine in Africa. The successful applicant will have a postgraduate degree and ideally a PhD in genetic epidemiology, bioinformatics or a related
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genomics, bioinformatics, molecular and biochemical techniques to identify how transcription factors, chromatin modifiers and RNA binding proteins regulate cell differentiation and how defects in
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, bioinformatics, and ability to contribute and work within a multi-disciplinary team of scientists and clinician scientists. What we offer As well as the exciting opportunities this role presents, we also offer
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discipline such as epidemiology, mathematics, physics, statistics, bioinformatics or computational biology, or similar research experience. Candidates should have proficient knowledge of a programming language
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, Physics, Bioinformatics or appropriate field of research Honours degree in Mathematics, Physics, Bioinformatics or appropriate field of research Significant research experience relevant to the collection
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of the post. Skills, knowledge, and experience Essential criteria PhD in Mathematics, Physics, Bioinformatics or appropriate field of research Honours degree in Mathematics, Physics, Bioinformatics