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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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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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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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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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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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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
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propose their own bespoke programme to conduct innovative research at the frontiers of Science and Engineering. Project proposals are invited across the full range of topics in the EPSRC research portfolio
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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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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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researchers from a range of disciplines, contributing insights and approaches from psychological science and related areas into the lab’s ground-breaking collaborative R&D programmes. As Research Fellow you