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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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biological imaging ranging from molecular, through cellular, to tissue, organ and organism levels of organisation, and is coordinated by LINXS Institute of advanced Neutron and X-ray Science. AMBER is funded
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biological imaging ranging from molecular, through cellular, to tissue, organ and organism levels of organisation, and is coordinated by LINXS Institute of advanced Neutron and X-ray Science. AMBER is funded
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integrates research groups and core facilities to foster world-class science. The Metabolomics Core Facility (MCF) at EMBL Heidelberg, led by Michael Zimmermann, offers cutting-edge services for the
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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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biological imaging ranging from molecular, through cellular, to tissue, organ and organism levels of organisation, and is coordinated by LINXS Institute of advanced Neutron and X-ray Science. AMBER is funded
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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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degree in either: software engineering, informatics, computer science, or equivalent life science, with strong computational components Leadership of computational projects with responsibility for
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features Create documentation and training materials to support users of the BioImage Archive You will have You should have a first degree in Biology, Bioinformatics, Computer Science or a related
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collaborative, proactive working style. You may also have A PhD in computer science, the life sciences, or a related field (not a requirement). Familiarity with AI/machine learning or computational