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be organised, highly motivated and able to work independently as well as part of a team. Informal inquiries about the position can be sent to Prof. Ivan Ahel via email: ivan.ahel@path.ox.ac.uk
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the following: a short cover letter describing briefly your background and interests a CV a list of publications the names and contact details of 2 references links to electronic copies of 1-2 most relevant
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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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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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following areas: Computer Vision, Robotics, Evolutionary Computation, Deep Reinforcement Learning, and Machine Learning. This should include a proven publication track record. You should also have: Research
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Full Time, 1 year fixed term contract We wish to appoint a Research Assistant or Postdoctoral Research Associate with experience in Electronic Health Records (EHR) research to work alongside the
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or military collaborators. You are expected to have strong mathematical and programming skills, knowledge of computer vision and data mining tools, and be able to work on group software projects using modern
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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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for deep access within the human body. The research remit will encompass: mechanical and electronic circuit design, prototyping, and pre-clinical evaluation of diagnostic and therapeutic devices to tackle