676 parallel-processing-bioinformatics positions at University of Oxford in United Kingdom
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advanced techniques in cell and molecular biology and cell imaging, and data analysis and interpretation of datasets (with support from local specialist bioinformatics and imaging teams). You must have
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have prior experience in bioinformatic analysis as described in the job description. The post holder provides guidance to junior members of the research group including research assistants, PhD students
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disease. Together with other members of the team, the post-holder will design parallel tasks for rodents and humans and apply comparable analytical approaches to data across species. Cell and circuit
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experience in molecular biology techniques and bioinformatic analysis of digital pathology images. Your ability to prioritise your own workload and work independently will be essential, as will your excellent
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. In addition to the NIHR funded post available, locally funded posts may also be awarded in parallel, subject to funding and assessment against the stated criteria for the role. Applicants should be
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-qualification research experience. Relevant areas of research include computational chemistry, structural biology/bioinformatics, statistics, machine learning, computer science or mathematics. They will have a
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testing new approaches. There may also be some expression and purification of recombinant enzymes such as methylases. There may be scope for some bioinformatic/computational analysis, but this is primarily
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for some bioinformatic/ computational analysis but this is primarily a laboratory-based post. The laboratory is well equipped for this work and for testing the function of assembled DNA molecules
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research, and/or bioinformatics leading to impactful publications and experiencing in clinical research. Application Process You will be required to upload a CV and Supporting Statement as part of your
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approaches including targeted genetic murine models, primary cell culture and analysis, multi-omics and bioinformatics. The biological focus will be on vascular biology, immune cell function and metabolism