Sort by
Refine Your Search
-
and AMR markers. By integrating plasmonic signal amplification using gold nanostars with a power-free electrokinetic focusing mechanism, the device will enable early-stage detection without the need
-
culture and in vitro models of mucosal immunity Data analysis using Python and digital image processing These skills are highly transferable to careers in biomedical research, pharmaceutical development
-
, reduce the need for systemic antibiotics, and mitigate the development of AMR in oral pathogens. The approach may also be extended to other biomedical applications involving biofilm-associated infections
-
PhD Studentship: Nanopore Technology for Rapid and Accurate Measurement of Antibiotic Concentrations
their use in field or point-of-care settings. This project aims to develop portable, nanopore-based sensors for the rapid and accurate quantification of antibiotic concentrations in environmental and clinical
-
contact them directly for informal discussion of potential project ideas. The secondary supervisor will be allocated by UCL as part of the formal admission process. Application process If you are interested
-
, and processing conditions influence their behaviour, creating a vast and complex landscape that traditional experimentation cannot navigate efficiently. This project addresses this challenge by bringing
-
at scale. Training and Student Development: The student will gain interdisciplinary training in: Advanced molecular cloning, CRISPR-Cas systems, and genome engineering Bioreactor operation and process
-
cultivation and molecular cloning Quantitative data analysis and process optimisation Synthetic and molecular biology techniques Research design, interdisciplinary collaboration, and scientific communication
-
platforms, and regulatory guidance Evaluate long-term performance and potential for clinical translation Impact and Outlook: This project addresses a critical unmet need in orthopaedic surgery by developing
-
. Atomistic Simulation of electronically excited processes in molecules and materials is essential for our understanding of the working principles of emerging energy conversion technologies, e.g. solar cells