Don't miss our weekly PhD newsletter | Sign up now Don't miss our weekly PhD newsletter | Sign up now

We have 97 Mathematics PhD Projects, Programmes & Scholarships in Manchester

Discipline

Discipline

Mathematics

Location

Location

Manchester  United Kingdom

Institution

Institution

All Institutions

PhD Type

PhD Type

All PhD Types

Funding

Funding

All Funding


Mathematics PhD Projects, Programmes & Scholarships in Manchester

We have 97 Mathematics PhD Projects, Programmes & Scholarships in Manchester

Mechanical metamaterials for impact protection

Aim. Optimisation of mechanical metamaterials to reduce impact severity. Summary. Mechanical metamaterials are engineered to have properties that cannot be achieved with their unstructured, intrinsic constituents. Read more

Metamaterials for catalysis

A meta-atom is an engineered sub-wavelength structure that, when periodically arranged like an atomic lattice, enable optical, electronic, thermal, and chemical functionalities not seen in conventional designs. 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

Inflammatory Arthritis in Childhood: Impact, Outcomes and Safety of Treatment

Juvenile Idiopathic Arthritis is the most common inflammatory arthritis of childhood. Although less common than arthritis in adults, a diagnosis of arthritis in a child can have lasting impacts on that child and their families through their entire lifespan. 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

Filtering Results