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address: Dr Fahad Panolan: f.panolan@leeds.ac.uk Project summary The Algorithms group at the University of Leeds (UK) is offering a fully funded 3.5-year PhD studentship on Parameterized Complexity and
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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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on the robustness (continuity) of equivalences in probabilistic systems. This is part of an EPSRC-funded project on Algorithmic Comparison of Stochastic Systems. The post holder will work closely with the Principal
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Job description: Are you passionate about protecting the natural environment and who enjoys working collaboratively? We have an exciting opportunity to join us at the University of Sheffield, in association with Detectronic Ltd a UK leader in environmental monitoring technology. We are...
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Overview The University of Sheffield, in association with Detectronic are recruiting a Knowledge Transfer Partnership (KTP) Associate to help develop and test a groundbreaking monitoring system for continuous water quality measurement in rivers. This is in response to the national need to...
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Are you passionate about protecting the natural environment and someone who enjoys working collaboratively? We have an exciting opportunity to join us at the University of Sheffield, in association with Detectronic Ltd a UK leader in environmental monitoring technology. We are recruiting a...
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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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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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real-time, and will be tested and demonstrated on a state-of-the-art HiL rig and an autonomous test vehicle. The post is focused on the development of automotive-grade algorithms and estimators that will