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We have 2,788 funding PhD Projects, Programmes & Scholarships

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funding PhD Projects, Programmes & Scholarships

We have 2,788 funding PhD Projects, Programmes & Scholarships

Development of polymerisation-induced self-assembly (PISA) systems for mechanochemical transformations

Block copolymers (BCPs) have potential in applications ranging from drug delivery to sensing or functional coatings due to their ability to form a wide range of controlled self-assembled nanostructures in solution. Read more

Leeds University Business School

Challenge thinking. Create knowledge. Make an Impact. As a Leeds University Business School postgraduate researcher you will contribute fully to the advancement of knowledge within the Business School. Read more

Cooperative catalysis using iron-based Organometallic frustrated Lewis pairs

Frustrated Lewis pairs (FLPs) has led to major advances in the field of small molecule activation and catalysis, being considered as one of the most exciting modern-day developments in main group chemistry. Read more

Investigating Nanoscale Network Polymer Degradation

  Research Group: Polymers and Composites
Network polymers are widely deployed as the matrix in structural composites and high-performance pigmented protective coatings. Surprisingly however, many fundamental aspects of how the properties and structure of these materials degrade upon exposure to the environment remains unknown. 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

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

Development of Graphene-enhanced Concrete for Real Life Construction Applications

Concrete is the most widely used construction material in the world with an annual consumption of over 10 billion cubic meters. Cement, which is the most carbon intensive constituent in concrete that contributes to about 80% of the total embodied carbon of concrete. Read more

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