390 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at University of Oxford
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or computational research in the area of quantum technologies, either in Physics or a related discipline (including Engineering, Materials, Chemistry, Computer Science or Mathematics) You will have a strong
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into valuable fuels. Sulphide materials remain underexplored despite their highly promising optoelectronic properties, and this programme seeks to unlock their potential by precisely controlling thin-film growth
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on software engineering, computational infrastructure, and open-science support, working across multiple work packages. The postholder will play a central role in maintaining and improving the group’s
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, Engineering, or a closely related discipline. You will be a materials or physical scientist with a strong track record in applying deep learning to computer vision problems, ideally within battery
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We are seeking two full-time Postdoctoral Research Assistants in Machine Learning to join the Foerster Lab for AI Research group at the Department of Engineering Science (central Oxford). The post
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Systems MSc (FT and PT) Engineering Science MSc by Research Environmental Change and Management MSc Financial Economics MSc Law and Finance MSc Major Programme Management MSc Mathematical and Computational
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computer science, materials science, and medicine. The role You will be a senior member of the Finance Team in the Department of Engineering Science providing high quality financial support to both internal and
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collaborators across multiple disciplines including computational epidemiology, evolutionary biology, computer science, and software engineering to design, implement, and maintain benchmarks that will help shape
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We are seeking a full-time Postdoctoral Research Assistant to join the Environmental Fluid Mechanics Group at the Department of Engineering Science in central Oxford. The post is externally funded
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Scientific Training. You will also complete either a Level 3 BTEC in Applied Science or a Level 4 HNC, depending on previous academic attainment. During your apprenticeship, you will work full-time (36.5 hours