22 linked-data-"https:"-"https:"-"https:"-"UCL"-"UCL" PhD positions at University of Warwick
Sort by
Refine Your Search
-
-ray Computed Tomography (XCT) has evolved into a significant "big data" challenge, with a single scanner easily generating over 10TB of data annually. The sheer volume of this structured data creates
-
radiographs. However, real-world experiments often face "limited data" conditions caused by strict time constraints, radiation dose concerns, or experimental rigs that physically block certain imaging angles
-
- See advert for details Deadline: 13 April 2026 Supervisors: Dr Subhash Lakshminarayana (Lead) and Dr Michael Faulkner Safeguarding Power Grid Stability in the Age of Artificial Intelligence (AI) Data
-
atomic and macroscopic length scales. Developing a predictive, fundamental theory linking stress to measurable magnetic signals will widen the applicability of mNDT and support the design of next
-
Materials & Cells (BMAC) group at WMG, University of Warwick are looking for a well-qualified PhD on linking fundamental battery research and industrial scale up & characterization. The BMAC groups covers
-
molecular weight reduction, cross-linking, and morphological alterations. Additionally, degradation of the fibre–matrix interface can occur, further compromising the mechanical integrity of these composites
-
: Interested candidates should submit a full formal application. Guidance and the application form are here: click the 'Apply' link above.
-
of pre-eclampsia Research area and project description: Pre-eclampsia affects 1 in 10 pregnancies, yet diagnosis remains uncertain. This PhD will integrate clinical data and blood biomarkers to improve
-
ignition products, with future opportunities expected in data storage devices and electrical contacts to supply the demand for higher computational power for AI driven technologies. However, the limited
-
reliable transmission of demanding multi-modal data such as haptic feedback, video, and 3D sensing data. This project will develop AI-driven predictive network intelligence to anticipate delay and network