Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- University of East Anglia
- UCL
- University of Exeter
- Edinburgh Napier University;
- Imperial College London;
- Loughborough University
- Newcastle University
- Swansea University;
- University of Birmingham;
- University of Cambridge;
- University of Nottingham
- ;
- AALTO UNIVERSITY
- Loughborough University;
- Manchester Metropolitan University
- Nottingham Trent University
- Swansea University
- The University of Edinburgh;
- The University of Manchester
- Ulster University
- University of Birmingham
- University of Cambridge
- University of East Anglia;
- University of Exeter;
- University of Liverpool
- University of Liverpool;
- University of Nottingham;
- University of Oxford
- University of Oxford;
- University of Sheffield
- University of Sheffield;
- University of Surrey;
- University of Warwick
- University of Warwick;
- 25 more »
- « less
-
Field
-
interaction, signal processing, data science and machine learning. The successful candidate will gain expertise at the intersection of structural health monitoring, railway engineering, and advanced artificial
-
intensity of these changes. This PhD project will ultimately enable aircraft to reroute safely and efficiently in real time as weather evolves. By merging scientific machine learning, large-scale data
-
their pandemic potential and classification as bioweapons. This project aims to develop a machine learning-accelerated NMR platform for the discovery of high-affinity inhibitors targeting viral RNAPs. Building
-
using cutting-edge computational techniques, including machine learning algorithms. Work collaboratively with an interdisciplinary and international team to refine and validate regional wave and ocean
-
training dataset of well-studied volcanoes with known large eruptions, the project will employ statistical and machine learning (ML) methods to identify the strongest predictors of eruption magnitude
-
learning and machine learning for biological data Sequence and structure analysis of large-scale datasets Functional annotation and evolutionary analysis Collaborative research with experimental virology
-
PhD Studentship in Aeronautics: How offshore wind farms and clouds interact: Maximising performance with scientific machine learning (AE0078) Start: Between 1 August 2026 and 1 July 2027
-
of students and can include, technique development, microscopy-spectroscopy, analysis/programming (including AI and machine learning) and materials-focused studies. We use innovative high-resolutionidentical
-
of reinforcement learning or agent-based systems. LanguagesENGLISHLevelExcellent Research FieldComputer science » Computer systemsYears of Research Experience1 - 4 Additional Information Benefits • Full funding
-
multimodal data, ultimately uniting rigorous machine learning foundations with biological discovery. Project details This PhD project will contribute to the development of generative models for multimodal data