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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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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
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analyses of viral proteins using AI-based prediction tools will also be integrated to support evolutionary inference. This work lies at the intersection of evolutionary biology, bioinformatics, and data
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findings, and represent the group at meetings. A working knowledge of bioinformatics is also essential. One or more first-author scientific publications, experience in protein purification and flow cytometry
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innovative lab-based experimental work, adapting existing and developing new scientific techniques and protocols. In addition, you will apply bioinformatic tools to analyse a variety of datasets, including
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space, and experience and fluency in programming (with python, R, and SQL). You will also have experience in bioinformatics techniques, data management and relational databases, and experience in
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to performing cloud-based analyses on the IMCM data platform, identifying and troubleshooting technical or scientific problems, and working collaboratively with the IMCM bioinformatics core group to overcome
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conferences. It is essential that you hold a PhD/DPhil in computational biology, genomics, bioinformatics, computer science, statistics, or a related field together with strong programming skills in Python, R