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Field
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experience with implementing machine learning algorithms. Experience or interest in innovative control systems engineering including IEC 61499 would be an advantage. The candidate will be immersed in a
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-to-failure dataset is then fed into powerful Artificial Intelligence algorithms, particularly time-series Neural Networks. These models learn the complex sequence of events that reliably precedes performance
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fixed-term basis until 31st January 2029. The AI Hub: The EPSRC-funded Erlangen AI Hub brings together leading minds from across the UK’s mathematical, algorithmic and computational communities, employing
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modelling are essential. Experience with healthcare data, algorithmic fairness, or deep learning for biomedical data will be advantageous. The successful candidate will contribute to high-impact publications
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samples. All computational methods and algorithms will be implemented as part of the python based MetaboLabPy platform (https://doi.org/10.3390/metabo15010048 , https://github.com/ludwigc/metabolabpy
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to shape—and create—new forms of AI material—algorithms, interfaces and embodiment—through the pursuit of answers to a complex question: in what ways can we make life better for all with interactive digital
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research to investigate new optimisation algorithms for the refinement of single-particle and/or subtomogram data for cryo-EM structure determination. Main duties: • To undertake research aimed at aimed
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implementing innovative signal processing algorithms for radar sensing and communication, establishing clear research objectives, and engaging in the collaborative projects. In addition, the position involves
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, which involves building a large corpus of Latin texts (data collection and pre-processing), mining dictionary data, and developing novel algorithms for time-sensitive word sense disambiguation (WSD) in
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LEO, MEO, and GEO constellations), and complementary on-board sensors. Research will investigate algorithms for robust multi-sensor fusion and positioning assurance. A strong emphasis will be placed