Sort by
Refine Your Search
-
Electric drives are essential to the UK's net-zero ambitions and will play a crucial role in powering the electric revolution. Future electric drives must be smarter, more power dense, and more efficient
-
technologies (such as electric vehicles and heat pumps) in Low Voltage (LV) networks. PEDs include Soft Open Points, Static Compensators (STATCOMs), and Smart Transformers (STs), which have been trialled and
-
Award summary 100% fees (UK home only), a minimum tax-free annual living allowance of £21,805 (2026/27 UKRI rate), and a research training support grant of £20,000. Overview The transition to low‑carbon marine propulsion demands new ways of integrating emerging fuels such as hydrogen, ammonia,...
-
PhD Studentship - Process Industries: Net Zero CDT: Lifecycle & Systems Modelling of Future Marine Fuels and Engine Systems Award Summary 100% fees (UK home only), a minimum tax-free annual living allowance of £21,805 (2026/27 UKRI rate), and a research training support grant of...
-
a difficult sector to decarbonise, as electrical power is challenging for many forms of shipping. Hence, sustainable marine fuels are required. Methanol fuel tankers are already in operation, with
-
threat to agriculture, biodiversity, and biosecurity worldwide. Current diagnostic methods for quarantine pests often rely on complex, multi-step laboratory tests that are difficult to deploy in the field
-
focused on advancing plant health diagnostics through synthetic biology. Plant pests and pathogens pose a major threat to agriculture, biodiversity, and biosecurity worldwide. Current diagnostic methods
-
tissue, radiologists insert a localisation device (RFID, magnetic seed) into the tumour pre-operatively. Wireless methods hold promise however, due to the scale of current RFID tags, delivery is
-
support massive Internet-of-Things (IoT) deployments through technologies such as network slicing. At the same time, the emergence of large-scale quantum computing poses a significant threat to current
-
, including weather, cyberattacks, and equipment degradation, are unpredictable, causing AI behaviors to deviate from lab-tested performance. Current digital twin technologies focus on predictive maintenance