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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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. This is part of an EPSRC-funded project on Algorithmic Comparison of Stochastic Systems. The post holder will work closely with the Principal Investigator, Stefan Kiefer, but also with other members of a
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Join Oxford Digital Health Labs as a Senior Research Scientist or Software Engineer, where you will play a pivotal role in developing advanced algorithms for cardiotocography and fetal ECG analysis
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analysis of new and existing large-scale wearable sensor datasets. There will be exciting opportunities to recruit participants and support collection of new wearable camera and accelerometer datasets with
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are looking for a researcher to drive the preparation and analysis of new and existing large-scale wearable sensor datasets. You will be an integral member of the wearables group based at Oxford, led by Aiden
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-dimensional digital twin of the atmosphere using a ground-based array of stereo cameras and sensors. The post-holder will contribute across the research lifecycle from dataset curation to the design of novel
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into real-world settings. You will be responsible for developing machine learning and AI algorithms for a range of data and applications (e.g. natural language processing, multivariate time-series data
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analysis of new and existing large-scale wearable sensor datasets. There will be exciting opportunities to recruit participants and support collection of new wearable camera and accelerometer datasets with
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, delivering tested methods, and creating algorithms to expand MMFM capabilities across domains like cardiology, geo-intelligence, and language communication. The postholder will help lead a project work package
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for long-term production projects including large arrays of full-recticle and wafer-size semiconductor sensors, as well as one-off R&D pieces and small commercial activities requiring a rapid turnaround