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We are seeking a full-time Postdoctoral Research Assistant in Computer Vision to join the Visual Geometry Group (Central Oxford). The post is funded by ERC and is fixed-term for 1.5 years with a
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project and is fixed-term for two years, with the possibility of extension. The objective of this project is to carry out computer vision and machine learning research in order to be able to translate
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mechanism design. The project will involve close collaboration with project teams at Imperial College London, the Edinburgh Parallel Computing Centre (EPCC) and the Luxembourg Institute of Science and
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on process development, electrode manufacture and performance assessment, but depending on the skills of the successful applicant, may also involve some aspects of modelling or data science. The post is funded
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radiation technology. Prior experience on spin-resolved ARPES or previous experience in setting up and maintain the operation of ARPES spectrometers will be an advantage. Candidates are expected
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instrumentation package. • Implement real-time signal processing and post-processing techniques to improve recording fidelity. • Design and test hardware on the bench to ensure robustness prior
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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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independent and proactive role in managing the research process, maintaining the collaboration with US-based partners, and generating new research opportunities. Please see the below 'Job Description' for
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on tumour immunity. The project is co-led by Dr. Keaton Jones, Clinical Lecturer in Hepato-Biliary and Pancreatic Surgery, and Dr. Michael Gray, Senior Researcher in Therapeutic Ultrasound
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will have three responsibilities: - (1) studies of composite materials for a beam-facing RF shield. (2) contributions to the operation and exploitation of the Timepix4 testbeam. (3) simulation work