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Data Analysis PhD Projects, Programs & Scholarships in Manchester

We have 58 Data Analysis PhD Projects, Programs & Scholarships in Manchester

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Maths & Computing

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Manchester  United Kingdom

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We have 58 Data Analysis PhD Projects, Programs & Scholarships in Manchester

Smoking and psoriasis: does smoking augment the angiogenic drive to the development of psoriasis and does smoking cessation have utility for psoriasis management?

Vascular endothelial growth factor A (VEGF-A)-mediated angiogenesis plays a key role in the pathogenesis of psoriasis; a common, inflammatory disease associated with significant extracutaneous morbidity and psychological distress. Thus, patients with psoriasis live with a complex multi-system disease which be a barrier to healthy lifestyle choices. . Read more

Problems in large graphs representing social networks

A number of interesting problems nowadays can be modelled by large graphs. For example, web links constitute a graph (google and the pagerank algorithm exploit properties of this graph), also facebook friendships, paper citation patterns and many more. Read more

Mathematical models for concurrent systems

We have a reasonable understanding of models for sequential programs, although there are many open questions regarding whether established models can be simplified mathematically. Read more

Contextualised Multimedia Information Retrieval via Representation Learning

Multimedia Information Retrieval (MIR) is an important research area in AI that aims at extracting semantic information from multimedia data sources including perceivable media such as audio, image and video, indirectly perceivable sources such as text, bio-signals as well as not perceivable sources such as bio-information, stock prices, etc. Read more

Machine Learning and Cognitive Modelling Applied to Video Games

Video games have been viewed as an ideal test bed for the study of AI. However, most of the academic work in this area focused on traditional board and card games where limited AI techniques have been tested. Read more

Multi-task Learning and Applications

In traditional machine learning, a learning system can be trained to deal with a specific single task, while human is able to complete multiple tasks with the same learning strategy. Read more

Zero-Shot Learning and Applications

Zero-shot learning refers to a novel paradigm on learning how to recognise new concepts by just having a description of them. For example, zero-shot learning works on a setting of solving a classification problem when no labelled training examples are available for all classes, which are divided into two class subsets. Read more

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