Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Sheffield
- Cranfield University
- Brunel University London
- King's College London Department of Engineering
- Manchester Metropolitan University;
- The University of Edinburgh
- The University of Manchester
- University of Birmingham
- University of Birmingham;
- University of East Anglia
- University of East Anglia;
- University of Exeter
- University of Hull;
- University of Newcastle
- University of Nottingham
- University of Surrey
- 6 more »
- « less
-
Field
-
allowed computational fluid dynamics (CFD) to flourish, becoming an indispensable for many industries. Simulating the full Navier-Stokes equations is computationally prohibitive for most applications, so
-
group, you will become part of a vibrant research environment specialising in nonlinear and quantum fluid dynamics. You will also have the opportunity to visit partner institutions and work with leading
-
confined battery geometries. Advanced modelling—including computational fluid dynamics (CFD) and transient thermal analysis—is required to accurately capture heat flux distributions, temperature uniformity
-
for fusion components. This framework foresees two building blocks: high-fidelity Computational Fluid Dynamics (CFD) simulations of boiling flows within complex geometry using opensource software and cutting
-
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
-
to validate computational fluid dynamics modelling to determine drag and vortex-induced vibrations on dSPCs associated with biofouling. Better understanding of the hydrodynamic consequences on dSPCs from key
-
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
-
modelling and behavioural science. The first part will be based on the use of Computational Fluid Dynamics (CFD) to diagnose the air quality of indoor spaces where people live and work (presence of pollutants
-
at the micrometre scale that can propel themselves through fluids, mimicking natural swimming organisms such as bacteria forms. Using biological building blocks found in cells and encapsulating them inside vesicles
-
computational fluid dynamics and numerical modelling will be used to simulate performance under varying runoff scenarios, pollution loads and climate conditions. By developing advanced road gully designs with