Project Description. We will develop novel theoretical frameworks [1] using machine learning approaches to address catalytic efficiency and to establish molecular design principles to key design problems for new bio-inspired nanocatalysts.
This PhD project will investigate new approaches to manipulation & analysis of very heterogeneous chemical systems (‘mixed’ or ‘messy’ systems), working towards a more supramolecular approach (considering interactions between molecules, not just composition).
Hepatocellular carcinoma, or liver cancer, is the 6th most common cause of cancer but the 2nd biggest cancer-killer globally. In this highly multidisciplinary project, you will help develop new methods for the detection of liver cancer at the point-of-care based on our pioneering work in miniaturised diagnostics.
Our society has an increasing demand for the fuels, plastics, and other essential chemicals that support our modern way of life. This growing energy requirement is in direct competition with the need to better protect our environment to mitigate the ongoing climate change we are experiencing.
