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without sectioning, but its use is limited given the typically long acquisition times. The overall aim of the project is to decrease image acquisition speed by acquiring less/noisier data but still achieve
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computationally demanding research. Join us and: Provide HPC & Cloud facilities and support the people who use them to: Run large- or small-scale simulations, data analyses and machine learning workloads Have the
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, bringing experimental testing resources into one place that enables large groups of students to use inquiry-based activities to learn the fundamental principles of engineering science and technology through
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27 Aug 2025 Job Information Organisation/Company KINGS COLLEGE LONDON Research Field Biological sciences Sociology Ethics in health sciences Mathematics Researcher Profile Recognised Researcher (R2
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of providing executive support to senior staff in a large and complex organisational setting, preferably within the Higher Education sector. They will also be a self-motivated, organised individual working in a
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. They should also be comfortable working with large data sets, such as social media data and/or longitudinal survey data. Additional information The post is full-time for two years, to start on or soon after 1st
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emulators. All work is theoretical/computer based and no real-world deployment of SRM techniques is included. Focus will be on understanding climate thresholds that may lead to large-scale dieback
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and career opportunities, which together make us a large and successful community, which is a key hub of activity within our region and nationally. Whether you are at the very start, middle or end
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psychiatry. The successful candidate will play a key role in supporting a large multi-centre randomised controlled trial of the effectiveness of sertraline in preventing depression in adults following a
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large data sets. Strong attention to detail and the ability to work collaboratively across the University are essential. Ref: 25AQSA0700 (307) Interviews: due to be held on week commencing 04 August 2025.