Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; The University of Manchester
- ; Swansea University
- ; University of Birmingham
- University of Cambridge
- ; University of Nottingham
- University of Sheffield
- ; University of Exeter
- ; University of Surrey
- ; University of Warwick
- ; University of Southampton
- ; Cranfield University
- ; Newcastle University
- University of Newcastle
- ; Loughborough University
- UNIVERSITY OF VIENNA
- University of Manchester
- ; City St George’s, University of London
- ; The University of Edinburgh
- ; University of Bristol
- ; University of Oxford
- ; University of Reading
- AALTO UNIVERSITY
- Imperial College London
- ; Brunel University London
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; University of Leeds
- ; University of Sheffield
- ; University of Sussex
- University of Oxford
- ; Manchester Metropolitan University
- ; University of Cambridge
- ; University of East Anglia
- ; University of Strathclyde
- Abertay University
- Harper Adams University
- ; Aston University
- ; Edge Hill University
- ; UCL
- ; University of Greenwich
- Heriot Watt University
- THE HONG KONG POLYTECHNIC UNIVERSITY
- ; Coventry University Group
- ; Durham University
- ; Imperial College London
- ; King's College London
- ; London South Bank University
- ; Royal Northern College of Music
- ; St George's, University of London
- ; University of Bradford
- ; University of Copenhagen
- ; University of East London
- ; University of Plymouth
- ; University of Stirling
- Aston University
- Brunel University
- Durham University
- KINGS COLLEGE LONDON
- Nature Careers
- UNIVERSITY OF EAST LONDON
- University of East London
- University of Glasgow
- University of Liverpool
- 55 more »
- « less
-
Field
-
, structural equation modelling, visualisation, preferably in R Competences in quantitative research methods – ideally knowledge of several of the following aspects of quantitative data analysis: experimental
-
reusable launchers, autonomous robotics, and advanced materials could redefine how we design space structures. The ability to remotely assemble orbital systems from multiple launcher payloads would allow
-
, are structured across the heterogeneous habitats of solar parks. The functional diversity of birds, small mammals, and arthropods within solar parks and adjacent grassland habitats. Landscape-scale modelling
-
AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
intelligent methods that integrate large language models (LLMs) and knowledge graphs to interpret technical documentation and structure complex engineering knowledge. The goal is to create digital twins
-
research opportunity focuses on advancing large-scale additive manufacturing using metal wire as feedstock and electric arc as the heat source. The project aims to develop an innovative and efficient method
-
This PhD studentship is a part of Rolls-Royce sponsored research centre developing advanced control systems to enhance the performance and efficiency of new aerospace propulsion systems. We apply a
-
providing a structured, semantic framework that enhances knowledge sharing and data reuse across different platforms and systems. Project Aim This PhD will develop an ontology-based methodology to improve
-
| £20780 + £2500 industry top up (per annum (tax free)) Overview This exciting, fully-funded PhD opportunity invites applications from candidates with a robust foundation in data science, modelling, and
-
invites applications from candidates with a robust foundation in data science, modelling, and/or engineering, and a keen interest in deploying data analysis and artificial intelligence (AI) to solve real
-
and accuracy, ultimately saving lives. This collaborative PhD project aims to develop and evaluate advanced deep learning models for speech and audio analysis to predict Category 1 emergencies