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discipline, and a relevant higher degree such as a MSc. A PhD or equivalent work experience is preferred. Skills and experience Good understanding of data collection, handling, visualisation
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workflows and post-processing pipelines. Maintenance and development of the group’s codebase and GitHub repositories, and providing cluster computing support for large-scale data analysis. Programming and
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development work aimed at combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER
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microscopy, correlative cryogenic light and electron microscopy, quantitative image analysis and/or cryo-electron tomography data processing. Experience working in an international or multicultural
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use and understanding of UniProt structural data Participation in EMBL-EBI-wide training and activities (e.g. AI-assisted biocuration forum) You will have A PhD or MSc in structural biology, or a
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extraction of side effect data from a range of documents. Your role will focus on developing and implementing machine learning and data processing pipelines for the extraction of safety data. The position
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. Experience in scientific software development, preferably using Python. Experience designing or implementing data-integration workflows, APIs or data-processing pipelines. Familiarity with FAIR data
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development work aimed at combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER
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Analyze and interpret quantitative experimental data using Python, MATLAB, or similar computational tools , including image processing, automated data analysis, curve fitting, kinetic modeling