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analytical methods, including many machine learning and AI schemes. Recent work includes new genetic discoveries (Currant et al Plos Genetics 2023 ) and AI techniques for modelling healthcare (Shmatko etal
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of the Saez Rodriguez group is to acquire a functional understanding of the deregulation of signalling networks in disease and to apply this knowledge to develop novel therapeutics. We focus on cancer, auto
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skills (Python, R, Java, …) and interest to work in polyglot software environments Practical experience with machine learning and AI methods and an interest to learn, adapt and apply ML methods
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environments Practical experience with machine learning and AI methods and an interest to learn, adapt and apply ML methods to challenging problems in mass spectrometry. Independent and cooperative working in
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statistics and/or machine learning to biological or medical research questions, ideally including the analysis of omics datasets. Proficiency in R and Python, as well as experience using high-performance
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Procedures, promote and enhance the adoption of FAIR principles among EGA users, and collaborate closely with our partners at EMBL-EBI in the UK. The role also involves participation in European-funded
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SUMOylation, transcription factors, or chromatin dynamics. Expertise in machine learning or statistical modeling for biological data. Knowledge of enhancer-promoter interactions and 3D genome organization. All
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SUMOylation, transcription factors, or chromatin dynamics. Expertise in machine learning or statistical modeling for biological data. Knowledge of enhancer-promoter interactions and 3D genome organization. All