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, UK, to work on building machine learning and AI models for perceptual quality prediction of spatial music. The post is funded by a leading industry partner. The focus will be to develop machine
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strong international track record in content provenance and authenticity research spanning computer vision, watermarking, machine learning, privacy-preserving technologies and open standards. We have
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machine-learning, predictive-modelling or multivariate methods to behavioural and/or EEG data. Proficiency in R, MATLAB and Python. What we can offer In return we offer a generous pension, relocation
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the speed up from using GPUs as well as machine learning techniques, e.g. simulation-based inference. Finally, we will use similar techniques to make a statistical inference of the population of subhaloes by
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to collaborate with other team members, such as the Research Fellow who focuses on building machine learning models for perceptual quality prediction. About you The post-holder is expected to have a PhD degree (or
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streams with perturbation signatures and fit these. For these fits, we will explore the speed up from using GPUs as well as machine learning techniques, e.g. simulation-based inference. Finally, we will use