152 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:"-"St" positions at University of Birmingham
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November 2025 Background To create and contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project
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in an exciting period of growth: major investment from the University will deliver a state-of-the-art research building (opening in 2023/24), and new multi-million pound high-performance computing
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-performance computing facilities, which will ensure UK-leading compute capability. These investments build on a major recent expansion of our academic staff and investment in our teaching and learning provision
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pound high-performance computing facilities, which will ensure UK-leading compute capability. These investments build on a major recent expansion of our academic staff and investment in our teaching and
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University of Birmingham | Belfast International Airport, Northern Ireland | United Kingdom | 3 months ago
entrepreneurial nature to support our growth and pursuit of excellence. Background The Student & Programme Administration department provides a wide range of high-quality services to support all University
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project – a randomised controlled trial of a digital parent support programme for parents of children with intellectual disabilities: The Digital Family Support study. The post is situated in
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), Cecilia Heyes (Oxford) and Phil Corlett (Yale). In this PhD studentship, you will lead on experimental and computational work looking at how social interaction biases feelings of confidence, and how
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candidate with a strong quantitative background (e.g., in computer science, statistics, bioinformatics). The following skills are essential for this project: Excellent programming skills in Python. Proven
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Professional programme which provides all professional services staff with development opportunities and the encouragement to reach their full potential. With almost 5,000 professional services jobs in a wide
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ranging in: Computational geotechnical and structural engineering, including AI-supported modelling, data-driven soil–structure interaction, and the use of field and laboratory data for geo-infrastructure