Sort by
Refine Your Search
-
). Overview This project develops next‑generation models to predict where earthquake‑triggered landslides will occur and how far they will travel; critical information for protecting lives, infrastructure, and
-
PhD Studentship in bioinformatics and cardiovascular biology - Exploring the application of geocomputational methods to high resolution spatial transcriptomics data from the human heart Award
-
to analyse next-generation spatial transcriptomics data, advancing our understanding of cardiac ageing and disease. Background: Spatial ‘omics methods measure gene or protein expression in their native context
-
today’s digital age, we continuously share personal data dozens of times daily—yet 88% of UK consumers want more control over their information, and 42% felt they had no control over their personal data in
-
PhD studentship in Trustworthy Multimodal AI under Lightweight and Data-Efficient Architectures Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26
-
, edge computing, data acquisition, and management of continuous multi-channel data streams from occupied buildings. Human factors and psychophysics - including experimental design for human response
-
). Overview This PhD will develop a data-driven framework to understand how climate-driven extreme weather affects electricity distribution networks and how targeted interventions can reduce disruption. Using
-
Dawson and Neil Gunn Eligibility Criteria · Programming (essential) · Statistics (essential) · Data processing and analysis (essential) · Water systems and hydrological
-
to use complex computer code e.g., TRACK algorithm · Difficulty to grasp analytic techniques used outside of academia and used within the insurance industry · Difficulty in complex
-
overcoming significant technical hurdles: a) Adaptive Fault Monitoring: Traditional systems fail to identify root causes in multi-modal data streams; this project utilizes federated learning and graph neural