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conditions that differ from its training data. A robot operating in the real world therefore needs more than an accurate model: it needs to recognise when information is unreliable and decide how much
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analysis, contextual analysis, audio feature extraction, and machine learning models to identify and assess potentially dangerous content. Similarly, computer vision models are implemented to analyse images
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AI infrastructure. The Opportunity This is an unprecedented opportunity for an outstanding data science and AI PhD candidate interested in brain data analysis and AI, supervised by Dr Mahsa Salehi
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quantitative analysis. This position is responsible for developing and conducting experiments, analysing neurophysiological data and contributing to the design and delivery of visual stimuli using programming
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Contextual Data Analytics (ICDA) as a method to address contextual analysis challenges by bringing rich contextual information to the analyst’s workspace. Despite the technological capability to support ICDA