134 data-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at University of Bristol
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Population Health Sciences in Bristol Medical School. This two-year post is funded by a number of international studies, which will use modelling and data analysis to guide the prevention and treatment
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data, and digital process tools to support the scalable production of resilient, build-ready reactor components. Please contact Dr Kai Zhang (k.zhang@bristol.ac.uk) for further information. This project
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candidate will be involved in and contribute to all aspects of the project including conducting a literature review, co-designing and building an online survey, conducting online interviews, data analysis, co
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Welsh colleagues and veterinarians using a range of technical methods to collect data and evaluate antimicrobial use and resistance and their drivers on farms in Wales. Act as a key point of contact
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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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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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field sampling, molecular diagnostics, and data analysis. Coordinating sampling and faecal egg count reduction tests (FECRTs) across 25 stud farms. Performing larval cultures and DNA extraction for ITS-2
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that inform brand strategy, marketing campaigns, and strategic planning across the University. You’ll work with a range of data sources, from audience research and market trends to brand performance and
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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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combination, and project how stability will shift spatially and temporally over coming decades. This will identify at-risk species and regions, develop tools for assessing stability in data-deficient species