408 data-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Oxford
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exclusion criteria. They will coordinate appointments for assessments and interviews, support data collection, and ensure that study procedures are conducted in accordance with the research protocol
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. Ability to convey complex technical information as appropriate to a variety of audiences (technical and non-technical stakeholders), using a variety of methods. 4. Ability to apply knowledge and experience
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genetic barcoding, clonal lineage tracing, and single-cell and spatial omics. The role involves analysing, interpreting and presenting experimental data, managing your own research and administrative
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computational ecosystem, including shared codebases, data pipelines, computing resources, and public-facing research outputs (e.g. websites and repositories). They will collaborate across work packages and with
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research income generation. You will also have experience in working with large micro databases and grouped data. Experience of independently managing a discrete area of a research project, working in
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and day-to-day management of the LabCup inventory, risk assessment and asset management system across our laboratories. You will maintain accurate data on chemicals, equipment and risk assessments
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administrative systems, and building strong working relationships across the Department and the wider University. Some responsibilities will involve highly confidential information and require discretion and sound
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over one or more core research thrusts within the lab’s multi-agent security programme. You should possess a PhD/DPhil completed, (or near completion), in theoretical computer science, information theory
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. The overall role of the post is to co-ordinate and participate in data collection and analysis that will help us fully understand how the socio-economic and demographic changes of the past half-century have
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identification of phases in metallic systems such as aluminium alloys or steels. You will have demonstrated expertise in applying machine learning and computer vision techniques for the analysis of scientific