Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; The University of Manchester
- ; Swansea University
- ; Loughborough University
- ; University of Nottingham
- ; University of Birmingham
- ; University of Exeter
- ; University of Warwick
- ; The University of Edinburgh
- ; University of Oxford
- ; University of Plymouth
- ; University of Reading
- ; University of Strathclyde
- ; Brunel University London
- ; City St George’s, University of London
- ; Lancaster University
- ; University of Sussex
- UNIVERSITY OF VIENNA
- ; Coventry University Group
- ; Cranfield University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Imperial College London
- ; Newcastle University
- ; University of Bristol
- ; University of Cambridge
- ; University of Copenhagen
- ; University of East Anglia
- ; University of Southampton
- Abertay University
- Harper Adams University
- 22 more »
- « less
-
Field
-
with knowledge and interest in structural dynamics, finite element analysis, programming and numerical methods. Applicants are expected to have achieved or be about to achieve a First-class honours MEng
-
abilities for power electronics systems and proficiency in PCB design and implementation. Moreover, experience with finite element software, such as Ansys Maxwell or Q3D, and hands-on experience would be
-
modelling of laser shock peening. Molecular Dynamics (MD) and Finite Element (FE) simulations will be combined to account for the complex physical phenomena and their different scales. The interdependence
-
degree in Engineering and have an interest in and/or a good understanding of numerical modelling and testing of structures. Prior knowledge of finite element methods and programming (e.g. C++, Python
-
by using commercial software such as Ansys, Abaqus, SolidWorks, etc. Experience in computational fluid dynamics (CFD) modelling or finite element (FE) modelling; Fundamental knowledge in fluid
-
. Develop analytical and finite element (FE) models to investigate the extent and sources of nonlinear behaviour in LGSs. 3. Develop novel control strategies to stabilise LGS shape, orbit & attitude
-
utilise numerical techniques including the finite element method to describe biofluid flow and deformation in the human brain tissue. Parameters are inferred from clinical data including medical images
-
/or dynamic analysis of mechanical/robotic systems •Ability to use finite element modelling and to simulate complex mechatronics •Ability to implement control and kinematics with hardware-in-the-loop
-
research group with a broad interest in plant biomechanics, ecology, development and evolution. A supervisory team comprising a plant scientist, a cell biologist and a physicist, as well as two postdocs with
-
scientists, cell biologists, bioimaging specialists and physicists, as well as a postdoc with a specific background pitcher plant development, transcriptomics and bioinformatics. Supported by this expert team