Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; University of Reading
- ; Manchester Metropolitan University
- ; University of Birmingham
- ; University of Leeds
- ; University of Nottingham
- ; Aston University
- ; Bangor University
- ; City St George’s, University of London
- ; Coventry University Group
- ; King's College London
- ; The University of Edinburgh
- ; University of Cambridge
- ; University of East Anglia
- ; University of Essex
- ; University of Exeter
- ; University of Greenwich
- ; University of Southampton
- ; University of Surrey
- ; University of Sussex
- ; University of Warwick
- Imperial College London
- Loughborough University
- Newcastle University
- University of Sheffield
- 17 more »
- « less
-
Field
-
Sciences or a related discipline; a Masters degree in these subjects would be of advantage. In addition, applicants should be able to demonstrate an interest in Engineering and Computer Sciences (even if
-
thermodynamically. Performance design optimization and advanced performance simulation methods will be investigated, and corresponding computer software will be developed. The research will contribute
-
science, engineering, mathematics, or related subject) Proficiency in English (both oral and written) Essential to have strong foundations in computer systems through degree courses or equivalent work experience
-
, and Internet-of-Things / Industry 4.0 technologies. Knowledge of computer science principles and modern AI approaches in computer vision and/or time series analysis is a plus. The position requires
-
Overview The University of Warwick in partnership with Electronic Arts (EA), is looking to recruit a PhD student in computer graphics for games. This is open to home students and will fully cover tuition
-
, PhD students, clinicians and computer scientists who will all support the studentship. The successful student will be further supported by members of the wider 4th floor research groups and existing
-
understanding of engineering mechanics and mechanical behaviour of materials. Knowledge of irradiation damage, computer modelling for nuclear materials, or steel metallurgy would be advantageous. Potential
-
(or equivalent) in an appropriate discipline. Ideal candidate will have some prior knowledge in deep learning and computer graphics. Subject area: Medical imaging, biomedical engineering, computer science & IT
-
about computer data analysis and willing to learn. Laboratory training will be provided but a steady hand is needed for accurate small volume pipetting. You will be working in a team and expected to
-
/ physics/ meteorology/ engineering/ biology. Experience in a computer programming language (e.g. Fortran, Python). A general understanding of the importance of the scientific method is essential. A previous