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and values diversity acting as a role model and fostering an inclusive working culture Person Specification Essential: PhD (or near completion) in Computer Science, Data Science, AI, or a related field
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system-level components to demonstrate the potential applications of these devices. Applications are encouraged from those with a strong background in optical material sciences, especially glass science
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from backgrounds, including computational chemistry, bioinformatics, systems biology, physics and machine learning. The project offers a unique opportunity to collaborate closely with experimental
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24 Sep 2025 Job Information Organisation/Company University of Exeter Department Faculty of Environment, Science & Economy Research Field Mathematics » Other Researcher Profile Recognised Researcher
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materials science to deliver new materials and knowledge, whilst developing a wide-range of state-of-the-art scientific skills directly applicable to career in academia or industry. Role Summary The role
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to the best talent and have the world’s highest per capital investment in science and technology. Key Responsibilities: Collaborate with partners from both the academia and the industry to lead and/or
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the Edge AI foundation and various industrial partners. We are seeking candidates with a doctoral degree and substantial experience in Persuasive and Edge Computing or related areas. Essential expertise
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opportunities to participate in faculty development programmes. The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported. Service Commitment One year for every year of
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The purpose of this role is to support the work of the RICHeS programme at QUB providing research and access to archaeological and heritage science. The RICHeS Scientist (Research Fellow) will be a
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machine learning, data science, mathematics or a computational science), or a postgraduate qualification with a major statistical component. There is scope for the role to be undertaken in a hybrid manner