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the developed imaging methods and contribute to cross-site method development, including hosting and co-supervising visiting researchers from the partner institutions. The successful candidate is
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Are you interested in studying metagenomic derived protein families and developing methods to interrogate vast collections of proteins, to determine pockets of interesting novel families
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, data science and open science infrastructures. Our goal is to build a dynamic community of AI specialists working alongside life science researchers, together creating innovative AI-based methods to
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to understand the molecular mechanisms underlying the interactions of parasites or bacteria with their hosts. This approach combines methods from cell biology (advanced light microscopy, gene editing
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orchestration, and data interpretation. This agenda sits at the intersection of AI and molecular biology, and cuts across traditional funding categories, from AI methods to experimental life science
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methods to text classification, named entity recognition, or information extraction Experience with Git/GitHub/GitLab Experience with cloud platforms, especially Google Cloud High attention to detail
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Experience of bioinformatics standards, tools and resources, preferably those relevant to variant annotation Experience of creating methods to manage and process genomics data Experience designing and
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Instrumentation Team ( https://www.embl.org/groups/papp/ ) develops high-precision instruments for Macromolecular X-ray Crystallography (MX), Small Angle X-ray Scattering (SAXS), and Cryo-Electron Microscopy