149 computional-geometry-algorithm positions at University of Nottingham in United Kingdom
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’ or ‘internationally excellent’. The highly research active SP Section comprises 13 permanent academic staff with research interests in Bayesian computational statistics and machine learning, uncertainty quantification
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for An enthusiastic, self-motivated individual with an interest in empirical and modelling work to test out new reactor designs. This will involve some work with Matlab or similar program to quantify mixing systems
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(School of Computer Science) External Partner: Build Test Solutions Ltd (BTS) Start Date: 1st October 2025 Eligibility: Home students only | Minimum 2:1 in a relevant discipline Stipend: Home students only
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key area of patient safety that can be improved with the use of computer vision approaches to system analysis. For many clinical procedures there can be multiple deviations in service delivery, which
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An exciting opportunity has arisen for a Research Associate/ Fellow to join the Cyber-physical Health and Assistive Robotics Technologies in the School of Computer Science to work on a project led
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international students to the school. We currently run an MA programme in International Communications, an MA programme in Digital Screen Production, and also have one of the most successful PhD programmes in
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-based role focusses on electromagnetic design, computational modelling (e.g., COMSOL, CST, ANSYS), dielectric characterisation, and testing that help to bridge the gap between laboratory-scale research
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Engineering BEng degree apprenticeship programme. About the role: The role is an Assistant Professor - teaching focused role, and involves teaching in a hybrid manner on the apprenticeship programme – both face
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A vacancy has arisen within the established programme team of the Trent Doctorate in Clinical Psychology. The programme is a partnership between the Universities of Nottingham and Lincoln and three
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the development of a high-quality, strategic and market-aligned undergraduate (UG) and postgraduate taught (PGT) programme portfolio Use data-driven insights to inform ESE decision-making and strategy