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equality PhD Projects, Programmes & Scholarships

We have 636 equality PhD Projects, Programmes & Scholarships

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

Novel 2D-crystals for the hydrogen economy

Graphene represents a conceptually new and large class of materials that are one or a just few atoms thick. These materials are completely impermeable to all gases at ambient conditions, but, unexpectedly, some are highly permeable to protons, nuclei of hydrogen atoms. 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

Protein self assembly induced by multivalent biological metabolites

In addition to being an energy source in biological reactions, recent discoveries suggest adenosine triphosphate (ATP) also plays a critical role in maintaining cell stability and preventing deleterious cellular processes through modulating biomacromolecular self assembly. Read more
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Understanding Fischer-Tropsch catalysts by in-situ spectroscopy

This PhD project is an exciting opportunity to apply and develop the cutting-edge characterisation techniques available at the University of Manchester, working with bp as industrial partners to help solve one of the biggest challenges in the transition to Net Zero. Read more

Electron beam-induced deposition of semiconductors

We are seeking a highly motivated and talented candidate to pursue a PhD in this exciting area of focused electron beam-induced deposition (FEBID) of semiconductors. Read more

Mathematical and computational modelling of diffusion-driven material ageing

This project will consider systems of reaction-advection-diffusion equations both computationally and analytically. These find application to modelling corrosion/ageing in materials, where diffusion of a reactant into the bulk material and its subsequent reaction leads to the growth of unwanted corrosion products. 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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