-
, physiology-aware models of bacteriophage infection by combining high-throughput single-cell microscopy, microfluidics, image analysis, and mathematical modelling. The work will contribute to understanding how
-
and how disruption of these processes contributes to congenital heart defects. The project will combine state-of-the-art single-nucleus RNA sequencing, spatial gene expression analysis and molecular
-
and how disruption of these processes contributes to congenital heart defects. The project will combine state-of-the-art single-nucleus RNA sequencing, spatial gene expression analysis and molecular
-
questions include what compliance means formally when no party sees the whole picture, how enforcement can be verifiable rather than trusted, and what these guarantees cost. The work spans cryptography
-
evolution at high temperature. The transition towards smarter, lower-carbon manufacturing demands new ways to understand and monitor how materials evolve during processing. This PhD project addresses a
-
of video and low-cost sensor technologies to capture subtle movement patterns, creating a rich dataset for AI-driven analysis. Machine learning, deep learning, computer vision and multimodal AI methods will