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Kingston University PhD Projects, Programmes & Scholarships

We have 126 Kingston University PhD Projects, Programmes & Scholarships

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We have 126 Kingston University PhD Projects, Programmes & Scholarships

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Helminth products as macrophage “trainers”: a novel therapeutic tool for the treatment of immune mediated diseases

The innate immune system can display characteristics of immunological memory. This phenomenon, termed “trained immunity”, refers to the long-term functional reprogramming of innate immune cells after the encounter with infectious or non-infectious agents that influences their capacity to respond to a secondary stimulus. Read more

Growth factor isoforms in neural and pancreatic beta cell differentiation

Disorders in which specific cells malfunction and degenerate, such as diabetes and neurodegenerative disease, are a huge unmet health need for which there are currently no curative treatments. Read more

Synthesis and Anti-Cancer Evaluation of New Heterocyclic Quinones

The group has published on small molecules with specificity towards hypoxic cells associated with solid tumours, reductase enzymes over-expressed in cancer, as well as, aziridines that induce hypersensitivity from Fanconi anaemia cells and those carrying mutations in the BRCA (Breast Cancer Susceptibility) genes. Read more

Computer modelling the development of organisations in the high-tech entrepreneurship ecosystem

Technological firms are regarded as key for national and regional economic development. Today, more than ever before, the business environment is burgeoning with innovation; Even simply Googling for apps and services to help boost elementary office efficiency, returns over 2000 items. Read more

Computational modelling and simulation of bio-inspired structures

Bio-inspired structures draw their primary inspiration from the sheer fecundity of nature in the diversity of forms and their constant evolution in order to better adapt to their environment. Read more

Robust perception and decision making for autonomous vehicles

Development of autonomous vehicles is seeing a growth in many different applications. As we increase the levels of automation and move into Self-driving cars, it is expected that these systems will combine a variety of sensors to perceive their surroundings in a robust manner and avoid human errors. Read more

Machine Learning and Domain Decomposition methods for Fluid Dynamics

Modelling of many modern applications leads to linear systems whose size is too large to allow the use of direct solvers. Thus, parallel solvers are becoming increasingly important in scientific computing. Read more

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