Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Cranfield University
- University of Nottingham
- University of East Anglia
- University of Birmingham
- University of Sheffield
- Imperial College London;
- University of East Anglia;
- The University of Manchester
- University of Birmingham;
- ;
- KINGS COLLEGE LONDON
- Loughborough University;
- University of Bradford;
- University of Bristol
- University of Cambridge
- University of Cambridge;
- University of Surrey
- Bangor University
- Loughborough University
- Newcastle University
- The University of Manchester;
- University of Exeter;
- University of Newcastle
- University of Nottingham;
- University of Oxford;
- University of Plymouth;
- University of Warwick;
- ; Loughborough University
- ; Swansea University
- ; The University of Manchester
- ; University of Surrey
- AALTO UNIVERSITY
- Edinburgh Napier University;
- King's College London Department of Engineering
- Kingston University
- Lancaster University
- Manchester Metropolitan University;
- Nature Careers
- Swansea University
- The University of Edinburgh
- UNIVERSITY OF VIENNA
- University of Exeter
- University of Hertfordshire
- University of Leeds
- University of Liverpool
- University of Manchester
- University of Oxford
- University of Plymouth
- University of Sheffield;
- University of Sussex;
- University of Warwick
- jobs.ac.uk
- 42 more »
- « less
-
Field
-
The aim is to discover and test candidate molecular mechanisms underlying central nervous system (CNS) (ie spinal cord and brain) regeneration. The human CNS does not regenerate after injury
-
architected materials or metamaterials (MTM) that can undergo targeted non-linear response. You will develop a computational framework that can reveal novel Multiphysics (thermo-mechanical) MTM solutions
-
individual-level responses, and the mechanisms underpinning these, is vital to identifying sensitive and resilient populations and species. Scaling from individuals to community-level responses is then
-
on health Physics-informed image registration approaches to infer injury mechanisms from longitudinal image data. Experimental characterization of the mechanical properties and damage behaviour in soft
-
to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
-
challenges which experimentalists must consider – computer simulations of molten salts are therefore a very valuable guide to efficient experimentation. Molten salts have been well-studied using classical
-
-class or 2:1 (or international equivalent) Master’s degree in Computer Science, Robotics, Mechatronics or Electronic/Electrical Engineering, or a related field. • Knowledge of machine learning/deep
-
Mathematics, Applied Mechanics, or related disciplines (a minimum honours degree at UK first or upper second-class level) Experience in computational fluid dynamic/finite element modelling by using commercial
-
Application deadline: 01/12/2025 Research theme: Applied Mathematics, Continuum Mechanics, Nonlinear PDEs How to apply: https://uom.link/pgr-apply-2425 UK only due to funding restrictions. The
-
mechanics, and analytical and numerical methods to solve partial differential equations. Excellent oral and written communication skills. Prior experience in computational fluid dynamics or active matter will