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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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pressure by using graphene membranes as X-ray and electron transparent windows to separate a liquid/gas environment from the vacuum conditions typically needed (see 10.26434/chemrxiv-2025-0cgp0). This role
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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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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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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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are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies Enquiries about the vacancy, shortlisting and interviews: Name: Dr Draga Pihler-Puzovic Email: draga.pihler-puzovic
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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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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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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