Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of East Anglia
- Cranfield University
- Loughborough University
- The University of Manchester
- University of Birmingham
- University of Cambridge;
- University of Newcastle
- University of Nottingham
- ;
- Imperial College London
- KINGS COLLEGE LONDON
- Newcastle University
- The Institute of Cancer Research
- The University of Manchester;
- University of Birmingham;
- University of East Anglia;
- University of Nottingham;
- University of Oxford
- University of Sheffield
- ; King's College London
- ; Loughborough University
- ; Swansea University
- ; The University of Edinburgh
- ; The University of Manchester
- ; University of Exeter
- AALTO UNIVERSITY
- Coventry University Group;
- Durham University
- Durham University;
- King's College London;
- Newcastle University;
- The University of Edinburgh
- UCL
- UNIVERSITY OF VIENNA
- University of Cambridge
- University of Exeter
- University of Exeter;
- University of Glasgow
- University of Greenwich;
- University of Leeds
- University of Sheffield;
- 31 more »
- « less
-
Field
-
This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens
-
statistical methods are not suitable for big data due to their certain characteristics: heterogeneity, statistical biases, noise accumulations, spurious correlation, and incidental endogeneity. Therefore, big
-
, large-scale biomedical datasets, including UK Biobank and the CPRD. It will integrate complex longitudinal data—including harmonized EHRs, genetics, and the novel features captured by the LLM—to generate
-
, and changing how water and sediment move through large rivers. While these impacts are becoming clearer, what remains poorly understood is how long such disturbances last and, critically, how
-
4 Nov 2025 Job Information Organisation/Company The University of Manchester Department Computer Science Research Field Computer science » Computer systems Researcher Profile First Stage Researcher
-
river channels, altering their topography, destabilising banks, and changing how water and sediment move through large rivers. While these impacts are becoming clearer, what remains poorly understood is
-
wind farms in the UK and neighbouring countries is expected to triple in less than five years. Newer wind farms are also deploying very large turbines of 14 MW or more, meaning that wake effects between
-
narrow down what parts of our genome are actually important for defining modern human-specific biology. This project will analyse data from these ultra-large datasets, alongside data from our great apes
-
stability as system strength continues to decline. Building on existing frameworks such as the WECC Composite Load Model (CLM), you will develop and validate data-driven methods for load identification and
-
, the project accelerates trait data acquisition by applying computer vision to herbarium specimens and field photos, as well as large language models to extract complementary information from literature and