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experimental analysis of optoelectronic properties. We will deploy a cutting-edge combinatorial approach, correlating atomic-scale resolution imaging and multiscale defect mapping approaches with macroscopic
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experimental analysis of optoelectronic properties. We will deploy a cutting-edge combinatorial approach, correlating atomic-scale resolution imaging and multiscale defect mapping approaches with macroscopic
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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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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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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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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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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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-edge algorithms into clinical workflows. Your responsibilities will include designing and optimizing signal processing algorithms, conducting rigorous validation studies, and ensuring the performance
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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