Sort by
Refine Your Search
-
clinicians. The research will involve investigating fungal cell biology, mechanisms of action of novel antifungal agents, mechanisms of antifungal resistance, and host-pathogen interactions involving A
-
neuroimaging methods to better detect disrupted function following neonatal brain injury, and identify new more energy efficient learning algorithms that could reduce the economic and environmental cost of AI
-
greenhouse gas emissions whilst reducing pressure on water quality and biodiversity associated with livestock farming. Cascading use of grass can deliver low-emission feed, food, energy, material and
-
econometric and machine learning frameworks to analyse the causal relationships between transport behaviour, residential energy consumption, and environmental outcomes in urban systems. The successful candidate
-
Energy and Environment, and Digital Healthcare. A key objective of Rinn Semiconductors is to foster collaboration across the seven partner universities and institutions, leveraging the semiconductor