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Senior Technicians will be responsible for supporting these venues, and the wider building, ensuring optimal management and coordination of the facilities and providing a high quality of technical
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medicine, with a primary focus on optimizing clinical trial design. The partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry
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the most pressing areas of fundamental understanding which are currently lacking and need to be overcome in order for the four PV device concepts to be optimized. The modelling findings on a range of
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, large-scale, embedded, robust and distributed optimisation, polynomial/sum of squares methods, and optimal, robust and model predictive control, as well as a wide range of applications spanning biology
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medicine, with a primary focus on optimizing clinical trial design. The partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry
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community. You will manage the imaging facility and its equipment, ensuring its optimal performance and accessibility, and oversee the microscopy Small Research Facility (SRF). This position is based
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data, tagging, and systems are accurate and up to date. You’ll ensure assets are compliant, optimally maintained, and aligned with operational performance goals. You’ll champion a culture of proactive
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to the development of novel strategies for neuronal analysis in health and disease and optimizing new methods. The project is funded by the Motor Neuron Disease Association for 3 years. Please see the below 'Job
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for future generations. Equally, we have the potential to dramatically improve the wellbeing of people across the planet. It is this combination of urgency and optimism that characterises all our work at the
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be requested at a later date. This position is offered full time on a fixed term until 31 October 2026 and it is funded by COI Core Funding and the National Institute for Health Research (OPTIMAL Study