Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- ; The University of Manchester
- ; University of Warwick
- ; University of Sheffield
- ; University of Sussex
- ; University of Bristol
- University of Sheffield
- University of Cambridge
- University of Nottingham
- ; Loughborough University
- ; Swansea University
- ; University of Exeter
- ; University of Nottingham
- ; University of Reading
- ; University of Surrey
- ; Cranfield University
- ; The University of Edinburgh
- University of Newcastle
- ; Anglia Ruskin University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Lancaster University
- ; Manchester Metropolitan University
- ; Newcastle University
- ; UCL
- ; University of Birmingham
- ; University of Cambridge
- ; University of Essex
- ; University of Leeds
- ; University of Southampton
- Abertay University
- Imperial College London
- Liverpool John Moores University
- Newcastle University
- University of Manchester
- University of Warwick
- 26 more »
- « less
-
Field
-
and multidisciplinary approach to such questions, bringing together knowledge in fields as diverse as, e.g., mathematical logic, the theory of computation, software engineering, artificial intelligence
-
an interest in data science, computational chemistry or related areas. A degree in Chemical Engineering, Chemistry, Computer Science, Mathematics or other engineering/science disciplines with significant
-
analytics. Eligibility: Applicants should hold or expect to gain a minimum of a 2:1 Bachelor Degree or equivalent in Computing and Electronics and knowledge of Mathematical Modelling and Statistical Analysis
-
, or a 2:1 Honours degree and a Masters, or a Distinction at Master’s level a degree (or the international equivalents) in computer science, engineering, physics or mathematics and statistics, we would
-
Rolls-Royce, this project will use both experimental and computational aspects to explore the aerodynamic design space for coupled intake/fan configurations that are required to deliver more efficient
-
and hidden patterns of big data might not be possible to be captured by traditional modelling approaches. This implies that mathematical modelling of such data is infeasible. The data-driven modelling
-
discipline such as engineering, physics, mathematics, acoustics, or instrumentation. Experience with computational modelling, test rig development, or experimental methods is desirable but not essential. Most
-
environment. Requirements: First-class or 2.1 honors degree (or international equivalent) in engineering, computer science, applied mathematics, or a related field. Interested? Contact Prof. David Wagg
-
through Model-Based Systems Engineering (MBSE) and multi-fidelity simulations. Use experimental and computational approaches to improve fuel system confidence and reliability. Support the aviation
-
in the North Atlantic ocean. An ideal candidate will have a first degree with a strong background in mathematical and statistical methods and/or climate change, with an interest in working within