Current research degree projects
Explore our current postgraduate research degree and PhD opportunities.
Explore our current postgraduate research degree and PhD opportunities.
This project extends dynamic combinatorial chemistry to oligonucleotides, creating libraries that respond to templating. It involves synthesising tailored nucleoside analogues and developing analytical tools using mass spectrometry and spectroscopy. Applications include sequencing, sensing, and aptamer formation, enabling novel biotechnology systems through adaptive, reversible chemistries for selective molecular recognition.
This project targets mRNA IRES structures of oncogenes using modified oligonucleotides to avoid broad translational inhibition. We will optimise ON modifications, transfection, and efficacy in organoids, focusing on lung and blood cancers. The goal is an adaptable, highly selective technology for precise regulation of multiple oncoproteins.
This project develops targeted delivery of antisense oligonucleotides for lung diseases such as cancer, asthma, and COPD. Conjugates will target lung cell receptors, with optimised linkers for recognition, transfection, and endosomal release. Designed for lung deposition, the system will be tested in organoid models, enabling novel, animal-free therapies.
PCR has transformed DNA research but relies on specialised equipment. This project aims to develop a reversible linkage system forming dynamic oligonucleotide libraries to template DNA replication. The approach will be used to evolve novel ligases and polymerases, ultimately enabling medicinal applications, including targeted therapies for various cancers.
This project aims to develop new early fault-tolerant quantum algorithms for drug discovery. You’ll design next-generation quantum algorithms, apply them to binding affinity, free-energy and spectroscopic predictions, and test them on real quantum hardware—advancing foundational theory, practical software development, and quantum use-cases.
This project investigates how secretory signalling pathways and cell communication influence the emergence of cancer stem cells (CSCs) during early pancreatic cancer development. Using advanced 3D organoid models, multi-omics, and genetic approaches, it aims to identify key pathways, biomarkers, and therapeutic targets for early detection and intervention in pancreatic ductal adenocarcinoma (PDAC).