54 data-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions at University of Liverpool
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We are excited to announce an exciting opportunity for a Research Software Engineer (RSE) as part of the research team of Imago, the Imagery Data Service. Imago is one of a set of new data services
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. Reporting to one of the Heads of Finance or Deputy Director, you will take ownership of key workstreams including system configuration, integration, data migration, testing, quality assurance, and the
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(or equivalent) in a relevant subject, be computer literate and in addition have experience of handling a variety of different sample types. The post is available until 28th February 2027. Our
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leadership of senior operational managers and oversight of maintenance performance, budgets and asset data quality. You will bring substantial experience in asset management, estates or building maintenance
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will not be able to access or update any existing personal data or job applications. Please note that any job applications already submitted will not be affected. Current Job Vacancies Your search
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and motivated individual to join the LMG as Archivist, reporting directly to the Collection Information & Development Manager. As Archivist you will catalogue collections, support collection management
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analysing behavioural data, supporting animal welfare monitoring, and contributing to research outputs including reports and publications. You will be based at the Leahurst Campus (Wirral Peninsula) and spend
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proposals and operational appraisals, develop layout drawings, model occupational data and be responsible for the management of devolved project budgets. This is an exciting role for an individual who has
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intelligence, data science, and engineering disciplines. We value diversity, inclusion, and professional development, and we support our staff to grow their careers while contributing to innovative research
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prediction and estimate kinetic parameters for enzyme-constrained models. By processing proprietary multi-omics data, you will initially focus on determining metabolic vulnerabilities in Zymoseptoria tritici