39 data-"https:"-"https:"-"https:"-"https:"-"Quadram-Institute-Bioscience" positions at University of Liverpool
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to improve collections data and information. We are seeking to recruit a Registrar to support work across all our Cultural Heritage collections. The Registrar is central to activity across the service
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, collaborative research that combines lab-based experiments with large-scale data handling and analysis. The post is available for up to 25 months in the first instance with a preferred start date of July/ August
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to publish peer-reviewed data towards the University REF return, and REF impact cases and develop a portfolio of activity leading to independent research profile. Interviews are to be held on Friday 19
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of behavioural and pupillometry data. The ideal candidate will have experience of experiment design in EyeLink, and/or collecting eye tracking and pupillometry data. You will also be responsible for liaising with
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value'. Ensure that a consistently high standard of quality control and supervision is maintained for each contract with compliance to design brief, design information, drawings, specifications and site
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research with autistic people or people with cancer and/or long-term health conditions Working with minoritised or seldom-heard groups Qualitative data collection and analysis Dissemination of research
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); experience of providing administrative and PA support; experience of H&S administration, including completion of risk assessments; experience of working with and interpreting data, accurate record keeping, use
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(SHINERS). Data analysis, interpretation, and reporting to group, project partners, and relevant audiences. Dissemination of research findings finding in academic journals and presentations at (inter
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environment. You should also have the ability to quickly interpret, absorb and advice on new information and procedures. You should have 3 GCSE's at Grade C or above (or equivalent) including English Language
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epidemiology, data science, and policy to produce high-quality, policy-relevant evidence with real-world impact. You should have a PhD (or near completion) in public health, epidemiology, data science, applied