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known for our pioneering research and pride ourselves on our international reputation. We are equal first in the UK for the impact of our Computer Science research, and second for our Electronic
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instrumentation often located at synchrotron facilities. We have recently developed operando cells which can perform XPS measurements at > 1 bar pressure by using graphene membranes as X-ray and electron
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learning, at the intersection of reinforcement learning, deep learning and computer vision, in order to train effective robotic agents in simulation. You should hold a relevant PhD/DPhil (or near completion
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about this position may be directed to Dr Ali Meghji Email: am2059@cam.ac.uk If you have any queries regarding the application process, please contact: hr@hsps.cam.ac.uk Please quote reference JM46722
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this position may be directed to Dr Ali Meghji Email: am2059@cam.ac.uk If you have any queries regarding the application process, please contact: hr@hsps.cam.ac.uk Please quote reference JM46722 on your
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numerical modelling. Ability to participate in research meetings to troubleshoot research problems and discuss the direction of research. Skills Fluency in at least one scientific computer language (e.g., C
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robots are therefore required. One of the goals of this project is to commercialise. You must have a strong computer science background and have experience in one or more of the following areas: Computer
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interdisciplinary environment, first-class mechanical and electronics workshops, and access to the King’s core facilities network. King’s is committed to an inclusive, supportive research culture. Researchers benefit
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The Department of Electrical Engineering and Electronics is offering an exciting opportunity to work with Sony Computer Entertainment Europe Ltd (UK) to develop next generation gaming environments
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Title: Professor of Agroecology Contact Email address: m.p.garratt@reading.ac.uk Alternative Contact Name: Tom Frame Alternative Contact Job Title: Lecturer Alternative Contact Email address: t.h.a.frame