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ensure the most efficient use of available resources. HPC Storage Performance : Work with the HPC team to ensure parallel file systems remain performant, diagnosing issues associated with intense or
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control instruments can be integrated into a closed-loop workflow, enabling optimization of cryo-EM sample preparation parameters without requiring immediate access to a cryo-EM microscope. In parallel, a
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, administrative and organisational skills, discretion and respect of confidentiality, attention to detail while being able to complete multiple parallel tasks. lntercultural competences and a highly service
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chromatography platforms (ÄKTA, NGC or comparable systems). Strong organisational skills and the ability to coordinate multiple projects and priorities in parallel. Strong communication and interpersonal
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record in establishing landmark data resources in these different areas ( EMBL-EBI ), leads in managing digital infrastructures, and operates a dedicated Data Science Center for handling complex
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families across taxa and environments. Your group The Finn Research Group currently comprises two PhD students and two post doctoral fellows. This team is closely aligned with the Microbiome
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TechDev Internship Programme is a scientific visitor scheme designed to provide early-career students/researchers (prior to embarking on a PhD) with a passion for technology and tool development an
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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
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scientific publications and presentations at international conferences. Qualifications and Experience The ideal candidate should have a PhD (or equivalent qualification) in physics, engineering, or an
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will be given the opportunity to collaborate with talented and driven teams working towards a shared vision of delivering the very best scientific resources. Extensive engagement with external scientific