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second in the UK for research power and first in England. About the role The project will be carried out at the Department of Computer Science, in the Machine Intelligence Lab (https
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for the transition from fossil carbon towards a sustainable net-zero future, as well as growth and sustainability of the UK economy and beyond. https://www.nottingham.ac.uk/news/c-loop-ukri C-Loop is a collaborative
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to lead and expand a high-impact research programme within SRI. This strategic appointment will strengthen our rapidly growing research portfolio and reinforce the development of the newly launched London
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or machine learning. Excellent programming skills in Python and deep learning frameworks A collaborative mindset and interest in socially impactful research. Experience with sign language data, multimodal
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that are relevant to industry demands while working on research projects in SIT. The researcher will be part of the team of the CFI Project (https://www.pub.gov.sg/-/media/PUB/Resources/Press-Releases/2024/06/Annex
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and the seventh century CE: https://www.nottingham.ac.uk/news/research-on-early-british-voices-and-identities. This project will use datasets previously curated by team members which will be
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all of this and more at https://www.qub.ac.uk/directorates/HumanResources/pay-reward-and-benefits/. Queen's University is committed to promoting equality of opportunity to all. We subscribe to Equality
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) Application Deadline 9 Feb 2026 - 00:00 (UTC) Country United Kingdom Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description About the role - The role-holder will work collaboratively to support this
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on Smart Fibre-Optic High-Power Photonics (HiPPo). The HiPPo programme (https://www.hippo-laser.co.uk/ ) is focused on understanding how to control the properties of fibre lasers, to go beyond the “fixed