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, and bioinformatics to gain a holistic understanding of molecular mechanisms that enable control of 3D genome organisation. About you The successful candidate should have a BSc, MSc or PhD Degree in a
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situ hybridisation. You will also have sound statistical and bioinformatics knowledge, with ability to program in R. Alongside a technical and research background, you will also need to be able to work
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ideal candidate you will hold a PhD (or equivalent) in bioinformatics, computer science or related discipline or has the equivalent professional qualification and experience. Alongside your education and
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related discipline, demonstrating specific experience and skills in pre-clinical models of cancer bone metastasis (in vitro and in vivo), histology, molecular biology, pharmacology, and bioinformatics
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Bioinformatics, undergraduate degrees in Biological Sciences and Psychology, and clinical training in Public Health. The post-holder will make a significant teaching and leadership contribution to these programmes
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in genomics, statistical genetics, and/or bioinformatics as well as relevant experience in statistical programming (such as R). You will have a good understanding of human genetics and broader human
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, including adaptive features. Mendelian randomization. Bioinformatics, with application to ‘-omics’ techniques that support mechanistic insight. Multi-level modelling with repeated measures. Advanced coding in