Aims. To develop a learning health system for orthopaedic surgery within the Scottish NHS. Rationale - A learning health system is a system of healthcare that is designed to continuously learn and improve over time by using data and technology to inform clinical practice and research. Read more
Applications are invited for a self-funded, 3-year full-time or 6-year part time PhD project. The PhD will be based in the School of Computing and will be supervised by. Read more
Positron Emission Tomography (PET) yields quantitative images of regional in-vivo biology and biochemistry in the form of radioactive uptake, whilst Computed Tomography (CT) provides detailed anatomical images of anatomy. Read more
The SFI Centre for Research Training in Machine Learning addresses the urgent industry demand for Machine Learning talent. The centre brings together leaders in their field to supervise and train students. Read more
The SFI Centre for Research Training in Machine Learning addresses the urgent industry demand for Machine Learning talent. The centre brings together leaders in their field to supervise and train students. Read more
The SFI Centre for Research Training in Machine Learning addresses the urgent industry demand for Machine Learning talent. The centre brings together leaders in their field to supervise and train students. Read more
One fully funded PhD position to work with Dr Henry Gouk in the School of Informatics at the University of Edinburgh, on a projected titled “Machine Learning with Context”. Read more
This PhD project will investigate the recent field of study of Causal Machine Learning, which aims to modify and augment Machine Learning by using Causal Analysis techniques as a way to solve its limitations. Read more
The proposed PhD project aims to investigate and address the issue of fairness in machine learning systems. As machine learning algorithms are increasingly being used in various domains, from healthcare and criminal justice to employment and education, concerns about bias in these systems have gained prominence. Read more
Inspired by neuroscience, informed by information-theoretic principles, and motivated by modern wireless systems architectures integrating artificial intelligence (AI) and communications, this project sets out to develop a paradigm-shifting framework for networked machine learning (ML) that is centred on the following ideas. Read more
Transfer learning has been demonstrated to improve the generalisation of deep neural networks to real-world applications, especially in situations where labelled training sets are missing. Read more
In October 2015, AlphaGo became the first computer Go program to beat a human professional Go player without handicap on a full-sized 19×19 board. Read more
*Offer only available for the duration of your active subscription, and subject to change. You MUST claim your prize within 72 hours, if not we will redraw.
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