-
approaches often provide only limited insight into these effects. This project will use advanced computer simulation, informed by post-operative scans and patient movement data, to understand how variations in
-
Apply and key information This project is funded by: Department for the Economy (DfE) Summary Many modern technologies — from medical brain-computer interfaces (BCIs) to automated factories — use
-
vision systems addressing an urgent industrial challenge with immediate, large-scale impact. The project will take existing knowledge in computer vision and deep learning and apply it directly to a
-
through the vessels and how diseases like heart blockages or artery wall damage develop. However, most current computer models used to study blood flow treat arteries as if they are rigid and motionless
-
, biodiversity monitoring, and climate resilience. The work supports strategic priorities in Environmental Sciences, Software/Cyber. PhD researchers will explore how AI-driven Earth observation, computer vision
-
collaboration between HCI researchers, healthcare professionals, and computer scientists will ensure robust outcomes, while ethical considerations such as privacy and responsible AI use remain central. In summary
-
natural fibres and bio-resins, combining renewable materials with advanced processing and computer-aided design/simulation. The research aims to create high-performance, sustainable composites with tailored
-
-controlled process, weaving through-thickness reinforcements directly into a component. This project will focus on the mechanical performance of tufted, 3D woven and z-pinned CFRP laminates. Key objectives
-
H, Asiabanpour B (2024) (A circular economy integration approach into vertical farming with computer-based simulation model for resource optimization and waste reduction, Journal of Cleaner Production
-
engineering/electronics engineering, or a related field will be advantageous, along with knowledge of the following: *low-power circuits/system design for ASIC, *Verilog based FPGA based system design