Sort by
Refine Your Search
-
Computational Circular Design: AI-assisted optimisation for disassembly (C3.5-AMR-Casamayor) Advanced Manufacturing Research Centre PhD Research Project Competition Funded Students Worldwide Dr Jose
-
extraction? What would be the best choice of solvent? What is the optimal route to recycle the water in the fermentation broth? Answering these questions requires us to develop new design algorithms. It is
-
Model Based Design and Flight Testing of a Vertical Take-Off Vertical Landing Rocket (C3.5-MAC-John)
guidance algorithms [1] for the hopper. These algorithms will run in real-time on a high-performance, secondary flight computer. One of the project’s novel contributions lies in the creation of a fully
-
deep learning algorithms in ESRI ArcGIS or similar software. Desirable Application Proficiency with relevant specialised software and approaches (e.g., geographic information systems, high-performance
-
Local Rules for Kolmogorov–Arnold Networks (KANs) School of Computer Science PhD Research Project Directly Funded Students Worldwide Prof Eleni Vasilaki Application Deadline: Applications accepted
-
. Successful re-development for end-of-life composites could enable reuse in other structural applications. This PhD will investigate the development of hierarchical Bayesian algorithms to capture
-
Explainable and Causal AI for Visual Analytics in Regenerative and Climate-Smart Agriculture (C3.5-COM-Cruz Villa-Uriol) School of Computer Science PhD Research Project Competition Funded Students
-
Magnetic Nanodevices for Energy-Efficient Neuromorphic Computing (S3.5-CMB-Hayward) School of Chemical, Materials and Biological Engineering PhD Research Project Competition Funded Students
-
, including teeth grinding and normal everyday movements, ensuring the accuracy and reliability of the collected data. Developing, training, and validating state-of-the-art machine learning algorithms
-
project offers a unique opportunity to apply cutting-edge computational methods to a fundamental challenge in reproductive biology: understanding why human embryos fail. As delayed childbearing becomes more