Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; The University of Manchester
- ; Swansea University
- University of Newcastle
- ; University of Surrey
- University of Cambridge
- University of Sheffield
- ; Cranfield University
- ; Manchester Metropolitan University
- ; University of Birmingham
- ; University of Nottingham
- ; University of Southampton
- ; University of Warwick
- Harper Adams University
- UNIVERSITY OF VIENNA
- ; Brunel University London
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Edge Hill University
- ; Newcastle University
- ; The University of Edinburgh
- ; University of Bristol
- Brunel University
- Heriot Watt University
- Imperial College London
- University of Oxford
- ; Aston University
- ; City St George’s, University of London
- ; Durham University
- ; King's College London
- ; University of East London
- ; University of Greenwich
- ; University of Oxford
- ; University of Reading
- ; University of Sheffield
- ; University of Strathclyde
- Durham University
- Heriot-Watt University;
- Manchester Metropolitan University
- THE HONG KONG POLYTECHNIC UNIVERSITY
- The University of Manchester
- UNIVERSITY OF EAST LONDON
- University of Glasgow
- University of Hertfordshire
- University of Liverpool
- University of Warwick
- 37 more »
- « less
-
Field
-
and demonstrable ability to interface and collaborate with experts in programming. • An independent, well-organized, and reliable work style. • Track record of obtaining scientific funding
-
dynamic environments, including narrow spaces and interactions with unfamiliar objects. This project aligns with Rolls-Royce’s technical needs for developing soft robotic solutions to enable in-situ/on-wing
-
) in a relevant subject (Physics, Chemistry, Materials Science, Chemical Engineering), experimental track record and willingness to learn. Home rate fees are fully funded. Applicants from overseas will
-
fully funded, three-year PhD studentship starting in October 2025, focused on one of the following research objectives: To develop biomimetic designs that enhance energy harvesting and bioelectronic
-
learning. The project involves a collaborative team, including a postdoctoral researcher and a PhD student, with specific objectives: Define and acquire a comprehensive database of high-quality video priors
-
in a more accurate analysis of optimizing the service performance. Computer vision approaches such as ones for object identification and action recognition can help to automatically identify deviations
-
Bayesian inference framework for identifying complex aerospace systems combining with limited experimental data. It can be also used to quantify uncertainties from experimental testing, significantly
-
simple identification of nuclear material even when the typical signatures of the materials may be unavailable. X-ray imaging is commonly used to image concealed objects but x-rays are attenuated in
-
optimization of batteries against the swelling phenomenon. This project aims at developing scientific machine learning approaches based on the Bayesian paradigm and electrochemical-thermomechanical models in
-
. This project will develop and apply new computational/analytical tools to guide XFEL experiments for specifically tracking lattice fluctuations and ion dynamics in energy materials (batteries). The project will