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the lens of information processing by signal receivers. This PhD project will test fundamental predictions for the role of processing biases in shaping organism visual signal evolution and human aesthetic
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are looking for an ambitious candidate with a strong background in mathematical and statistical methods for both physics-based modelling and machine learning, and their application to engineering problems in
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interests are in NLP, Machine Learning and Data Science. He develops text analysis methods to solve problems in other scientific areas such as (computational) social and legal science. About the School
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operation, modelling, software development, and data analysis. This PhD project will focus on addressing the short baseline anomalies through measurements of key parameters which govern sterile neutrino
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A Machine Learning Enabled Physical Layer for 6G Radio Systems School of Electrical and Electronic Engineering PhD Research Project Directly Funded UK Students Prof Timothy O'Farrel, Prof Mohammed
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, advanced statistical methods and the potential to develop pioneering reconstruction and calibration techniques involving machine learning. The PhD will prepare equally well for a career in industry and
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data gaps by combining process simulation (e.g., Aspen software) with machine learning techniques. By developing accurate, large-scale life cycle inventory data using enhanced digital tools like deep
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firefighting search and rescue teams. The project scope is on real-time solutions for a small, medium and large number of entities with a swarm of UAVs. Computer Vision and Machine Learning approaches will be
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science, computer vision, medical/image analysis is essential. Experience of research (or interest in) in one or more of the following: deep learning; big data management; computational pathology; medical imaging
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via traditional analytical methods extremely challenging. This project will apply pattern recognition and machine learning techniques to a large database of experimental data to reveal early-stage