Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Nottingham
- University of Warwick;
- The University of Manchester
- University of Birmingham
- University of Exeter
- Manchester Metropolitan University
- AALTO UNIVERSITY
- Durham University
- University of Warwick
- Newcastle University
- Trinity College Dublin
- UNIVERSITY OF VIENNA
- University of Bedfordshire
- University of Cambridge
- University of Cambridge;
- University of Newcastle
- University of Oxford
- University of Sheffield
- Abertay University
- City St George’s, University of London
- King's College London
- King's College London;
- LIVERPOOL JOHN MOORES UNIVERSITY
- Manchester Metropolitan University;
- Oxford Brookes University
- The Rosalind Franklin Institute
- University of Birmingham;
- University of Bristol
- University of Limerick
- University of Limerick;
- University of Plymouth
- University of Salford
- University of Sheffield;
- University of Surrey
- University of Sussex
- 25 more »
- « less
-
Field
-
into the sample of interest. Recently we have been using AI and machine learning to predict the distortion present and significantly speed up this correction process. This PhD project will take the latest in AI
-
industry and academia together to drive pre-competitive, fundamental research in polymers. We welcome applicants with interests in polymer physics, materials processing and characterisation, machine learning
-
establish a digital route to quantify the segregation behaviour of residual elements at austenite/austenite grain boundaries through atomic-scale simulations, using modern machine learning techniques and in
-
sensors - if we can control and tune their properties. You will develop and use top-of-the-line machine learning models to predict the sensor response of these materials under realistic conditions
-
, machine learning, molecular dynamics, and fluid mechanics. We aim to understand how chemical structure of precursors and process conditions affect film quality, helping design better materials and
-
work with the UK semiconductor industry. The studentship represent a unique opportunity to be trained in the epitaxy process and to work in an emerging and exciting area of combining AI/machine learning