49 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at EMBL
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About the team We are seeking a Bioinformatician with expertise in data integration and experience in structural biology and molecular dynamics (MD) data to join the Velankar team at the European
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About the Team The Chemical Biology Resources Team at the European Bioinformatics Institute ( EMBL-EBI ) is looking for a talented Scientist with a flair for data curation to be responsible for the
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platform. DECIPHER is a global data sharing platform that fuels rare disease discovery and enables patient diagnosis. This is an exciting opportunity to join an innovative multi-disciplinary team
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world-leading resource for permanent secure archiving and sharing of all types of potentially identifiable human genetic and phenotypic data resulting from biomedical research projects. Its mission is to
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About the team We are looking for a software engineer who will join the BioStudies team at EMBL-EBI. BioStudies database is a general-purpose resource for sharing and publishing life sciences data
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The Chemical Biology Services Team at the European Bioinformatics Institute (EMBL-EBI) is looking for a talented scientist with a flair for data curation to be responsible for the quality of chemical
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researchers worldwide. UniProt provides expertly curated protein sequence and functional information, including structural data from key resources such as the PDB, AlphaFold DB, and the 3D-Beacons
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plants, invertebrates, and genomic variation, as well as the European Variation Archive (EVA). Overview Ensembl is one of the world's leading platforms for the exploration and analysis of genomic data
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Your role Reporting to EMBL-EBI's Deputy Director, funded by Wellcome and working closely with senior colleagues responsible for data services, training, infrastructure development, in this role
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design, implementation and delivery Authorship and maintenance of technical documentation Strong Python skills for data cleaning, analysis, and visualisation Ability to design reproducible data pipelines