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of universities, informing research strategy, and determining the allocation of significant public research funding. Preparing a successful REF 2029 submission is therefore a complex institutional programme that
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ACCE+ DLA Programme: Quantifying water storage beneath the Greenland Ice Sheet and its influence on ice dynamics and runoff School of Geography and Planning PhD Research Project Competition Funded
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BBSRC Yorkshire Bioscience DLA Programme: Predicting pathogen evolution: using experimental evolution to understand the impact of phage therapy on Clostridioides difficile School of Biosciences PhD
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Applications are invited for an ESRC-funded North West Social Sciences Doctoral Training Partnership (NWSSDTP) PhD studentship (with potential to apply for 1+3 award) at the University of Central Lancashire. The studentship is for up to 3.5 years full time (tuition fees and annual stipend at the...
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About the Role This is an opportunity to join an established, high-profile, team that is working on various aspects of cloud computing and AI law. Members of the team also teach on courses in cloud
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About you- We’re looking for someone who leads with fairness, integrity, and inclusivity, consistently creating an environment where everyone feels valued and heard. You will proactively develop and inspire others, offering clarity behind decisions and encouraging accountability across the team....
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direction to enhance impact, recruitment, and engagement. This will include supporting the RAPID Eczema Trials programme; a National Institute for Health and Care Research (NIHR) funded applied research
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following the renowned "Work-Integrated University-Industry Collaborative Talent Training Model." We offer cutting-edge programs in high-demand fields: Digital Technologies, Computer Science, Logistics
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PhD at the Forefront of Computational Solid Mechanics and Machine Learning School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr J L Curiel Sosa Application
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, providing direct feedback on theory analysis and further predictions. The goal is to develop a theoretical and computational approach that has strong predictive power for finding completely new types