Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Exeter
- University of Nottingham
- Newcastle University
- University of Warwick;
- The University of Manchester
- University of Surrey
- Manchester Metropolitan University
- Manchester Metropolitan University;
- University of Cambridge;
- University of Essex;
- University of Manchester
- University of Warwick
- Durham University
- Harper Adams University
- Newcastle University;
- Swansea University
- University of Birmingham
- University of East Anglia
- University of Plymouth
- University of Plymouth;
- AALTO UNIVERSITY
- Imperial College London
- Royal Holloway, University of London
- UNIVERSITY OF VIENNA
- University of Bedfordshire
- University of East Anglia;
- University of Sussex
- ;
- City St George's, University of London (Tooting);
- City St George’s, University of London
- Cranfield University
- European Research University
- King's College London
- King's College London;
- London School of Economics and Political Science;
- Northeastern University London
- Oxford Brookes University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- The Rosalind Franklin Institute
- The University of Edinburgh
- The University of Edinburgh;
- UWE, Bristol
- UWE, Bristol;
- University of Birmingham;
- University of Cambridge
- University of Dundee;
- University of Kent
- University of Leicester
- University of Liverpool
- University of Newcastle
- University of Oxford
- University of Sheffield;
- University of Strathclyde
- 43 more »
- « less
-
Field
-
to participate in this collaborative research programme. They will be expected to contribute research to central datasets, and will be encouraged and supported to develop high-profile publications at the cutting
-
motivated students with a strong background in engineering or computer science. The ideal candidate will have: Strong programming and software skills. An awareness of machine learning theory and techniques
-
Sustainability (RAPTOR). The successful candidate will be part of a cohort of PhD students across four universities (Manchester, Liverpool, Surrey, Suffolk) working in a national programme with 18 industrial
-
programme with 18 industrial partners. During the first months of this PhD, training will be provided UK experts in radiation protection, environmental assessment and radioactive waste management, nuclear
-
Science, Applied Mathematics or a closely related field. A strong mathematical background (probability, linear algebra, optimisation) and proficiency in programming (preferably Python/Matlab) are essential. Prior
-
in programming for data analysis and algorithm development (e.g. Python, MATLAB). Strong analytical skills and the ability to critically evaluate technical and scientific literature. Excellent
-
computer programming specially for solving partial differential equations is desired. To apply please contact the main supervisor Masoud Babaei . Please include details of your current level of study
-
following would be advantageous: Programming in Python, R or a comparable language. Using machine-learning frameworks such as PyTorch, TensorFlow or scikit-learn. Working with audio, video, behavioural
-
fees for the period of the relevant programme as outlined in the offer letter (usually three years). CSC will provide living allowances as prescribed by the Chinese Government, and will cover the round
-
start date Programming skills in Python, R or STATA Willingness to learn unfamiliar tools as needed (e.g. GitHub, APIs, new libraries). Familiarity with econometric techniques, especially panel data