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record The ability to use own initiative and plan, manage and prioritise workload effectively to meet varied and strict project delivery deadlines. Contact details for advert Contact Name Contact Job Title
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Mobility Reading Group led by Nobuko Yoshida. The successful candidate will be located in the Department of Computer Science Reporting to Professor Nobuko Yoshida, the post holder will be responsible
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relevant data sources for model evaluation Previous research experience and publication record The ability to use own initiative and plan, manage and prioritise workload effectively to meet varied and strict
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experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally efficient deep learning Deep learning model generalisation techniques. Translating deep learning models
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membership for our state of the art sport and gym facilities and access to a 24-7 Employee Assistance Programme. • On site nursery is available plus access to holiday camps for children aged 5-16
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including discounted membership for our state of the art sport and gym facilities and access to a 24-7 Employee Assistance Programme. • On site nursery is available plus access to holiday camps
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diabetes; genetics; infection and immunology; imaging and biomedical engineering; transplantation immunology; pharmaceutical science; physiology and women's health. We also have thriving research programmes
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Location: Old Road Campus Research Building, Headington, Oxford, OX3 7DQ We are seeking five full-time Postdoctoral Research Assistants to join the Computational Health Informatics Lab
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We are seeking five full-time Postdoctoral Research Assistants to join the Computational Health Informatics Lab at the Department of Engineering Science, based at the Institute of Biomedical
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The Royal Veterinary College, University of London; | Potters Bar, England | United Kingdom | 19 days ago
). This post will focus on using detailed wing geometry models and free flight kinematic measurements in computational fluid and structural dynamics simulations to recover dynamic strain and flow fields