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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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). Previous applicants need not apply. Join Oxford Digital Health Labs as a Senior Research Scientist or Software Engineer, where you will play a pivotal role in developing advanced algorithms
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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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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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Approximation. Parameterized Complexity is a vastly growing area within theoretical computer science that allows for the development of exact and approximation algorithms for computationally hard problems by
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for monitoring offshore renewable energy. Large datasets collected across active and passive acoustics, sometimes supported by camera imagery, require development of robust and reliable algorithms to automate
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that the solutions provided are correct. It will involve a mix of algorithm engineering and formal methods, alongside more traditional software engineering activities. This project involves developing software which
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integrates machine learning and statistics to improve the efficiency and scalability of statistical algorithms. The project will develop innovative techniques to accelerate computational methods in uncertainty
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Role: Researcher Development Consultant Grade and Salary: Grade 7, £37,174 - £46,735 per annum FTE and working pattern: 1 FTE, 35hrs per week, Monday - Friday Holiday Entitlement: 33 days annual
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mix of algorithm engineering and formal methods, alongside more traditional software engineering activities. This project involves developing software which is both mathematically rigorous, and