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We have 78 Computer Science PhD Research Projects PhD Projects, Programmes & Scholarships in Manchester

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Computer Science

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Manchester  United Kingdom

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Computer Science PhD Research Projects PhD Projects, Programmes & Scholarships in Manchester

We have 78 Computer Science PhD Research Projects PhD Projects, Programmes & Scholarships in Manchester

Early life factors in the development of Juvenile idiopathic arthritis

Juvenile idiopathic arthritis (JIA) is an autoimmune inflammatory arthritis with disease onset before the age of 16. Children and young people with this condition develop painful swollen joints and untreated it can lead to long term disability. It may also be associated with comorbid conditions such as uveitis. Read more

Data-driven optimal prediction of bacteria growth

This project is devoted to an AI-based prediction of bacteria growth and its control by antibiotics. In synthetic biology, an improved understanding of bacterial regulatory circuits is required to develop complex biological systems with functionalities beyond existing in nature [1, 2]. Read more

New Methods for modelling cofactor-dependent enzyme structure and function

Enzymes are Nature’s catalysts and many used cofactors and/or coenzymes to catalyse their reactions. While AI and homology methods now often allow the useful prediction of protein structure from amino acid sequence, this can be more challenging when the protein/enzyme contain cofactors. Read more

Optimal prediction of dynamical systems with incomplete data

Dynamical systems describe a variety of real-life problems related to evolution over time. It is often the case that the problems are so complicated that mathematical models for them either do not exist or are not accurate enough. Read more

Data-driven optimal prediction of bacteria growth

This project is devoted to an AI-based prediction of bacteria growth and its control by antibiotics. In synthetic biology, an improved understanding of bacterial regulatory circuits is required to develop complex biological systems with functionalities beyond existing in nature [1, 2]. Read more

Machine Learning approaches to improve the efficiency of fluid dynamics simulations

OpenFOAM and CFD simulations are often computational expensive both in terms of resources and time. CFD codes often use explicit methods that require small time steps of the order of micro-nano seconds. Read more

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