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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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We are looking for a motivated Research Associate to conduct research in Algorithms and Computational Complexity, with applications to Game Theory and Optimisation. The research is led by Paul
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systems. You will support digital project delivery and the University's Smart Campus initiatives, integrating spatial and sensor data to enhance building performance, space use, and user experience. From
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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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wearable devices into the existing remoting monitoring system, and the integration of algorithms for automatic analysis of data received at the backend. About You You should hold a MSC degree in a relevant
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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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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
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near to completing a PhD in neuroscience, biology, or a related discipline. • Experience with hardware development, sensor integration, or custom device fabrication. • Experience with