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will play a pivotal role in developing advanced algorithms for cardiotocography and fetal ECG analysis. In this position, you will manage and innovate next-generation algorithms, focusing on both
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of randomised algorithms. Candidates who are close to completing their doctoral degree will be considered. The post holder will have the opportunity to contribute to the development of the research agenda, as
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navigation algorithms and machine learning models on physical robot platforms. We are particularly interested in candidates with expertise in generative AI and curriculum learning applied to robotics, as
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movement; (iii) generate benefits for both society and the environment by guiding possible mitigation strategies; and (iv) drive technological progress through the development of novel algorithms
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also be required to develop successful working relationships with a range of stakeholders. This role is offered with part-time hours (0.4 FTE), on a fixed-term basis for an initial 12 months, with a
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and distributing high quality content to promote the Hub’s activities and impact. This post holder will develop and implement effective communications and engagement strategies that align with the Hub’s
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for proving hardness, and devise new algorithms. You will be expected to conduct individual research and develop research questions, regularly write research articles at a national level for peer-reviewed
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of Oxford. The post is funded by the National Institute for Health and Care Research (NIHR) and is fixed term for 24 months. The researcher will develop multi-sensor 3D reconstruction algorithms to fuse
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. The post is funded by NIHR Oxford BRC and is fixed-term for 12 months in the first instance. About The Role The ideal candidates will have experience in developing, implementing, and evaluating healthcare
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We invite applications for a full-time Postdoctoral Research Associate to join the new Data-Driven Algorithms for Data Acquisition (DataAcq) project. This is a timely project developing new