Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- University of Nottingham
- ; Swansea University
- ;
- ; Cranfield University
- ; University of Nottingham
- ; University of Southampton
- University of Bristol
- University of Newcastle
- University of Sheffield
- ; Brunel University London
- ; The University of Manchester
- ; University of Birmingham
- ; University of Bristol
- ; University of Cambridge
- ; University of Oxford
- ; University of Sheffield
- ; University of Surrey
- ; University of Warwick
- King's College London
- UNIVERSITY OF VIENNA
- University of Birmingham
- 12 more »
- « less
-
Field
-
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
-
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
-
, 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
-
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
-
: Investigating how functional motifs are encoded in HS chains and how they influence their biological activity. Using gastruloids as a model system with which to study GAG structure/function relationships
-
project will focus on an Advanced Reactor fuel form called TRi-structural ISOtropic (TRISO) fuel. Each TRISO particle has a spherical uranium-based kernel (although this project only studies particles with
-
capture technologies. In this project, you will: Develop a 3D Digital Model: Create an advanced computational model of high-pressure mechanical seals. Apply Computational Fluid Dynamics (CFD): Simulate gas
-
expertise and facilities in electrochemistry, materials chemistry, advanced characterisation techniques (including a variety of spectroscopy, microscopy,) modelling and battery and fuel cell construction and
-
We are pleased to announce PhD studentship project in “Advanced Composites Development for Hyper-velocity Impact Protection of Space Satellites Structures”. This is an exciting PhD research
-
AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
this, you will work with emerging AI techniques such as large language models, which can interpret technical documentation, and knowledge graphs, which help structure and connect engineering knowledge