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We have 56 The University of Manchester Computer Science PhD Projects, Programmes & Scholarships

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Computer Science

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The University of Manchester

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The University of Manchester Computer Science PhD Projects, Programmes & Scholarships

We have 56 The University of Manchester Computer Science PhD Projects, Programmes & Scholarships

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

Collaborative probabilistic machine learning

We develop probabilistic machine learning methods for helping other agents make better decisions, ultimately human agents in ongoing applications in science and engineering. Read more

Prolog, constraint programming and algebra

My collaborators and I have written two recent papers which are intended to demonstrate that logic and constraint programming are tools which need to be better known and more widely deployed in pure mathematics. Read more

Continual Learning and Its Applications

Continual learning (often termed as lifelong learning) is the process through which a learning system efficiently learns multiple tasks in succession, which is an essential requirement for Artificial General Intelligence (AGI). Read more

Controlled Synthesis of Virtual Patient Populations with Multimodal Representation Learning

This project invites PhD candidates who are interested in developing generative models that can deal with complex multimodal patient data, contributing to safer, better and faster innovations of medical products via in-silico trials. Read more

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