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, travel for conferences and presentations, as well as contribute to academic publications. The post holder is expected to hold a PhD degree in Bioinformatics, Computer Science or other relevant discipline
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discipline. A significant proportion of our research income is for projects within the Health Schools, so experience in a health-related area (e.g. computational biology, bioinformatics, biophysics, medical
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discipline. A significant proportion of our research income is for projects within the Health Schools, so experience in a health-related area (e.g. computational biology, bioinformatics, biophysics, medical
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cytometry will be an advantage. The project has a major computational component both for AI-driven modelling and predictions, and for bioinformatics analyses of wet-lab data. This will be performed by
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, neuroimaging, neurophysiology, proteomics, transcriptomics, epigenomics, metabolomics, bioinformatics, cell models and animal models. First in man and Phase 2, 3 and 4 clinical trials are also strongly supported
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, neuroimaging, neurophysiology, proteomics, transcriptomics, epigenomics, metabolomics, bioinformatics, cell models and animal models. First in man and Phase 2, 3 and 4 clinical trials are also strongly supported
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models with a key focus on integrating pathology, radiology, and electronic health records (EHRs), while collaborating with the bioinformatics team to incorporate molecular data such as bulk RNA-Seq, whole
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Research Associate-Postdoctoral Analyst for the MRC Genes & Mental Health & Health Cognition Project
experience: Essential criteria A PhD (or near completion) in statistical genetics, bioinformatics, psychiatric epidemiology, data science, or a related field Strong programming skills (e.g. R, Python, bash
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manuscripts for publication Knowledge of bioinformatics analysis methods, including ability to analyse microbiome data Organised and systematic approach to research Problem solving skills – both within
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. signalling. Research experience with animal (mouse) work. Good verbal and written communication skills. Good practical and organisation skills. Computer skills (Office, information technology, bioinformatics