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and database developers and work closely with the product team, machine learning engineers and data scientists to shape the next generation of literature discovery and AI-powered research services
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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
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general public. As an important part of EICAT’s remit, the EMBL-EBI training team ensures that millions of researchers can use the EMBL-EBI data resources, some of the world’s most critical open data
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series databases to ensure efficient storage, aggregation, and retrieval of large scale HPC telemetry data. Extend and improve carbon and energy reporting tooling, including alignment with established
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The life sciences increasingly depend on advanced services offered by core facilities, synchrotrons, data services and other research infrastructures, creating a need for highly-skilled professionals
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The life sciences increasingly depend on advanced services offered by core facilities, synchrotrons, data services and other research infrastructures, creating a need for highly-skilled professionals
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designs for complex, data-heavy products Lead usability testing programmes and use data to validate design decisions What we're looking for Strong research and synthesis skills, and confidence presenting
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science applications and imaging conditions. Development and maintenance of hardware control and data acquisition software (LabView, Python, Matlab, or similar), including automation of imaging