106 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "UNIV" uni jobs at University of Bristol
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environment, with great Excel skills. You have excellent analytical and problem-solving skills, and you can use these to analyse data to make decisions on the correct accounting treatment. Customer service and
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sequencing. Maintaining detailed records and supporting data entry. Liaising with stakeholders to coordinate sampling schedules. Supporting general laboratory operations and compliance You have experience in
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administrative support You have strong computer skills, email communications, Microsoft packages ( full training will be given on the specific systems ) Contract type: Open-ended Work pattern: Full time Grade: D
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underlying mental health disorders and their treatment, adding to our strengths in brain plasticity and cognition, pain, biological rhythms and sleep. We encourage ‘big data’ or ‘Population Neuroscience
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are adaptable and able to deliver high quality, efficient and effective clinical administrative support. You have strong computer skills; email communications, Microsoft packages (full training will be
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academic excellence. Using data and insight to inform investment decisions, improve service delivery, and optimise estate utilisation. Building strong, collaborative relationships across the University
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complying with information and rights legislation and taking account of issues around sensitive material You are a qualified archivist, are close to completing an archives qualification or have experience
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relevant information may affect eligibility. About the Committee (IPC) The Infrastructure Planning Committee (IPC) is a key committee of the Board of Trustees. Its role is to provide independent assurance
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. You will have an excellent eye for detail, be confident handling data, aware of GDPR and confidentiality, and strive to deliver excellence in every aspect of your work. The post-holder will also be a
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-associated DNA sequencing (RADseq) of fungal and tree-root DNA to identify fungal individuals (genets) of any species (without the need for prior genomic information) on tree roots and link them to individual