44 computer-engineering-"https:"-"https:"-"https:"-"https:"-"https:" positions at EMBL
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including: Ancient Environmental Genomic Initiative for Sustainability ( https://aegisearth.bio/en ). Functional Annotation of Animal Genomes (FAANG) ( https://www.faang.org ) European Reference
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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
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total announced post-doctoral positions within in the AMBER co-fund project please visit https://www.euraxess.se/jobs/437869 The interviews will start in October/November 2026. For more information about
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. You will work closely with team members to ensure development of automated pipelines and effective integration into the ChEMBL database ( https://www.ebi.ac.uk/chembl/ ) and Open Targets Platform
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total announced post-doctoral positions within in the AMBER co-fund project please visit https://www.euraxess.se/jobs/437869 The interviews will start in October/November 2026. For more information about
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total announced post-doctoral positions within in the AMBER co-fund project please visit https://www.euraxess.se/jobs/437869 The interviews will start in October/November 2026. For more information about
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, please visit the facility website ( https://www.embl.org/groups/metabolomics/ ) that presents more information about the services, instrumentation, protocols, spectral library as well as video
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-based approaches to advance scientific discovery. EMBL AI will host new AI research groups and data engineering teams, supported by state-of-the-art infrastructure, along with fellowship and skills
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student enrolled in a recognised university pursuing a Bachelors or Masters degree in engineering, physics, mathematics or computer sciences and related discipline and/or an unaffiliated recent
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science community. You may develop projects in fields including: Data and computational science: Bioinformatics, AI/ML, computational modelling, software engineering, data management, data science