Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
-
Field
-
, the successful candidate will carry out research relevant to the research project HiPOVor: Modelling of high-power vortex induced turbulence in free-space and fluid dynamic based optical propagation modelling
-
closely related area. Experience with computational fluid dynamics, ideally DNS/LES, and confidence working with large‑scale simulations. Solid programming skills in languages commonly used for scientific
-
fluid dynamics and/or magnetohydrodynamics, in addition to excellent numerical skills. The post-holder will also play a key role in the dissemination of the results from this project, so excellent verbal
-
part of a clinical training program unless research training is the primary purpose of the appointment. Skills & Experience: • Ph.D. or equivalent doctoral degree (Sc.D., M.D., D.V.M., or similar
-
Combustion, vol. 84, p. 25–47, April 2009 web . [9] P. J. Schmid, «Dynamic mode decomposition of numerical and experimental data,» Journal of Fluid Mechanics, vol. 656, p. 5–28, July 2010 web . [10] S
-
package on archetype generation and develop data integration pathways Contribute to estimating environmental exposures at archetype levels using computational methods like fluid dynamics, AI and ML
-
) – The secondment will take place at the ARTORG Center for Biomedical Engineering Research, where Prof. Obrist leads the Cardiovascular Engineering group. His research focuses on biomedical fluid dynamics