355 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "IFM" "IFM" "IFM" uni jobs at University of Oxford
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and timeline. Once operational, you will oversee initial flow characterisation and data analysis, contribute to the implementation of advanced experimental techniques, and support experiments across
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thematic areas- Start Well, Live Well, Age Well- along with five cross cutting themes: digital; health tech and data; community, social, and home care; knowledge mobilisation, implementation, and
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the integrity and reliability of the accounts, and enabling timely financial information to budget holders and other stakeholders. About You You should hold full or part-qualification e.g. in AAT or ACCA (those
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to communicate complex financial information clearly are essential. Experience of research grant management and knowledge of Oracle Financials and/or X5 would be advantageous. The post is full-time (part-time
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the gathering and summarising of data for assay performance and assay validation reports. All relevant training will be provided in post. You will have a degree in a biological science or equivalent experience
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situated in the Big Data Institute on the University’s Old Road Campus. NDPH contains world renowned population health research groups and provides an excellent environment for multi-disciplinary research
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using examples of your skills and experience. Please see the below 'Job Description' for further details on the responsibilities and selection criteria, as well as further information about the university
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intermediate computer skills, particularly in Microsoft Office. Applications for this vacancy should be made online and you will need to upload a supporting statement and CV. Your supporting statement must
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complex organisation. Strong interpersonal and communication skills are essential for this role, as you will be required to explain policy and administrative information clearly and accurately, both in
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administrative skills and attention to detail, be able to work flexibly to deadlines, be confident in working with data, and be able to demonstrate sound judgement in solving problems. Experience of student