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Oxford’s Department of Orthopaedics (NDORMS) as well as collaborators in Bristol and Cardiff. You should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely
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architectures to enable near real-time 3D reconstruction from 2D ultrasound video. The post-holder will contribute to cutting-edge research at the intersection of deep learning, computer vision, and biomedical
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, and the wider MSc Taught Programmes Team. To be successful in this role, you will need to be highly organised, have previous administrative experience, and demonstrate strong computer skills. A positive
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proficiency working with a range of computer-based and online applications, including website-content management systems. The duties and skills required are described in further detail in the job description
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equipment and is aware and knowledgeable of the Health and Safety requirements involved in scientific research. Educated to A Level standard or equivalent, you should be computer literate, organised, able
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machine learning, computer vision, human-computer interaction, or similar relevant areas. Experience in research or development on bias, interpretability, and/or privacy in machine learning/AI is necessary
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computer programs such as Outlook, Word and Excel and be able to understand and pass on clear and accurate information. You will have an understanding of issues around confidentiality and excellent attention
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of lecture rooms, maintaining safe and clean spaces. What You Need to Succeed: At least 3 GCSEs (grades A-D) or equivalent. Great communication skills and a positive attitude. Basic computer skills and an
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- Develop original numerical methods for facility simulation in presence of expansion waves - Demonstrate improved estimates of rate constants for two-temperature models - Contribute
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becomes essential. This project will focus on building a comprehensive digital twin of a future quantum computer to investigate how classical subsystems scale and interact, and how this scaling impacts