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to drive the generation and analysis of data, to present at conferences, contribute to writing of papers and future grant applications. This is an exciting area of research using an in vitro model of human
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About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly rated in research
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About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly rated in research
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programming skills, in depth knowledge of MR theory, and experience with the acquisition and analysis of (preclinical) MRI data, as well as with mathematical modelling and image processing methods. Experience
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Job id: 115685. Salary: £44,355 - £47,882 per annum, including London Weighting Allowance). Posted: 21 May 2025. Closing date: 18 June 2025. Business unit: Natural, Mathematical & Engineering Sci
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Science, Robotics, AI, or a related field Strong background in machine learning and robotics, with specialisation in one or more of the following areas: generative models, reinforcement learning, human-centred AI
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Science, Robotics, AI, or a related field 2. Strong background in machine learning and robotics, with specialisation in one or more of the following areas: generative models, reinforcement learning, human
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the University, with additional appointments in Mathematics, Engineering and Chemistry. Durham's strong commitment to this area of research is also demonstrated through its support for the EPSRC Centre
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work on large-scale understanding of coastal wetlands - primarily mangrove forests and tidal marshes. This will include mapping and modelling of distribution, value, condition, and opportunities
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work on large-scale understanding of coastal wetlands - primarily mangrove forests and tidal marshes. This will include mapping and modelling of distribution, value, condition, and opportunities