136 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "P" uni jobs at University of Bristol
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responsible for analysing a wide range of data sources from market trends and audience behaviours to brand performance to generate actionable insights that inform recruitment marketing, programme development
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publication of journal articles reporting outcomes from the molecular genetics aspects of the programme, in collaboration other REFRESH team members collaborate with the research team on multidisciplinary
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(1.0 FTE) Undergraduate Administrator to support the student administration team with the BVSc Veterinary Science Programme in the School. Providing administrative support for undergraduate teaching and
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postgraduate research development aligned with global engagement goals. Promote interdisciplinary opportunities and integrate research strengths into programme offerings. Strategic Partnerships: Collaborate with
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assurance, and continuous improvement. Champion interdisciplinary opportunities and integrate research strengths into programme offerings. Strategic Partnerships: Collaborate with Bristol faculties and
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across the University. As part of a University-wide Professional Services Transformation Programme (PSTP), they will develop seamless, consistent and effective research and innovation services across
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initiatives lead by members of the Institute include the UKRI-funded INFORMED-AI and Probabilistic AI (Prob-AI) hubs and our BSc programme in Data Science. The post-holder will be responsible for developing
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are launching several new undergraduate and MSc programmes in AI, supported by multiple Faculty appointments across 2025–27. Our new Temple Quarter Enterprise Campus, scheduled to open in 2026, will provide a
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from underrepresented and disadvantaged backgrounds. This may include leading our residential Summer School programme, Insight into Bristol; supporting other projects such as Access to Bristol
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the Accelerated Graduate Entry Veterinary Programme, which uses a problem-based approach to learning, enabling students to achieve the expected learning outcomes from clinically-based case-based