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objects, by embedding them into a 2 or 3-dimensional space through a representation learning algorithm, has been widely used for data exploratory analysis. It is particularly popular in areas such as
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response have led to targets for reducing overflow frequency, ecological harm, visual impacts, and protecting bathing water. This PhD project has been co-developed with four UK water companies and the
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involve leveraging advanced natural language processing and medical image analysis to transform imaging data into clinically relevant information. Additionally, it will explore the use of multimodal fusion
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, Skills and Experience • You will have substantial technical experience in time series analysis, ideally either in neurophysiology data or wearable sensor data • You will have experience of at least
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of a multidisciplinary team. Core skills include: Proficiency in data analysis and interpretation. Familiarity with research methodologies and clinical guidelines. Strong organisational skills and
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. Ability to work independently and as part of a multidisciplinary team. Core skills include: Proficiency in data analysis and interpretation. Familiarity with research methodologies and clinical guidelines
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programming skills (in Python, R or similar) and experience with large-scale data analysis using bioinformatic tools and pipelines to analyse and interpret biological data Attributes and Behaviour • Be
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visual and sound sensory channels alone. However, it is currently not possible to undertake dynamic analysis of users¿ experiences in VR, and the aim of this project is to investigate how to assess