Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- University of Nottingham
- ; Swansea University
- AALTO UNIVERSITY
- The University of Manchester
- University of Cambridge;
- University of Sheffield
- ; City St George’s, University of London
- ; Loughborough University
- ; The University of Edinburgh
- KINGS COLLEGE LONDON
- The University of Edinburgh
- University of Birmingham
- University of Cambridge
- University of Newcastle
- University of Surrey
- ;
- ; Aston University
- ; Newcastle University
- ; The University of Manchester
- ; University of Birmingham
- ; University of Cambridge
- ; University of Exeter
- ; University of Southampton
- Abertay University
- Brunel University London
- Coventry University Group;
- Imperial College London
- King's College London
- Loughborough University
- Newcastle University
- Swansea University;
- UNIVERSITY OF VIENNA
- UWE, Bristol
- University of Birmingham;
- University of Bristol
- University of East Anglia
- University of East Anglia;
- University of Glasgow
- University of Greenwich
- University of Strathclyde;
- University of Warwick;
- 32 more »
- « less
-
Field
-
the molten pool. However, these models are computationally intensive and impractical for widespread simulations of large-scale part deposition. This project aims to develop a novel FEA-based approach
-
. The research group is seeking a talented Doctoral Researcher in nonlinear systems and control with strong interest in nonlinear stability theory, modeling & identification, optimal control, certifiably safe
-
computing. Current challenges in quantum technology adoption stem from the lack of standardized benchmarking methods and the inherent difficulty in validating quantum devices beyond classical simulation
-
fabrication laboratories. Hands-on experience in surface engineering and scintillator detector testing. Training in modelling and simulation of radiation–matter interactions. Opportunities to present research
-
Dr Sendy Phang. The student can gain experience and skills in a range of topics, such as Artificial Intelligence and Deep Learning, nanofabrication, computational modelling, metamaterial design, and
-
Dr Sendy Phang. The student can gain experience and skills in a range of topics, such as Artificial Intelligence and Deep Learning, nanofabrication, computational modelling, metamaterial design, and
-
coalitions for delivering reliable, low-carbon energy services. Collaborating closely with UK Power Networks, SSE Energy Solutions, and the University of East London, you will develop robust economic Model
-
/Simulink/Python for modelling, simulation, and control design. Experience with genset systems, hybrid powertrains, or real-time control applications is highly desirable. A practical interest in system
-
MRI, echocardiography, and CT. Another promising approach is the use of cardiac digital twins—mathematical models that simulate a patient’s heart to allow the design and in silico testing of novel
-
systems (e.g., GC) Experience in synthesis and characterization of heterogeneous catalysts Hands-on experience with (pressurized) chemical reactors Experience with modelling and simulation software (e.g