Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
experimental validation of mathematical and computational models linking individual microscopic dynamics, information propagation, and collective structures (norms, social networks, global performance
-
, experimental facilities, and scientific network of the laboratory. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8213-ZHUCHE-001/Candidater.aspx Requirements Research FieldEngineeringEducation
-
) to study yielding in cellular materials, specifically in emulsions. The postdoc (M/F) will analyze experimental data and compare to simulations that they will carry out. - Numerically study a vertex model
-
strongly encourages applications from candidates with backgrounds in physics, physical chemistry or photophysics, interested in the development of new experimental methodologies and their application
-
to experimental design, modelling of temporal encoding schemes, and data analysis, within a highly interdisciplinary environment combining optics, photophysics, signal processing and biology. The person will
-
occurs via small-scale extreme events that propagate to large scale. A detailed check of this hypothesis thus requires multi scale tools and dedicated experimental setups as well as the development
-
to turbulence, and wall shear stress, with direct relevance to cardiovascular flows. The research work will be primarily experimental and will involve laboratory studies of pulsatile pipe flows in straight
-
part of your tasks. Finally, you will analyze and compare your numerical results with data obtained from previous experimental campaigns. - Conduct numerical simulations to evaluate the benefits of HOFI
-
implement them on an existing experimental setup, modified if necessary. With the assistance of two permanent researchers, he will participate in the daily supervision of PhD students in the lab
-
-state and transient regimes. The objective of this post-doctoral project is to develop an experimental prototype of a wall resulting from topological and/or shape optimization to minimize thermal losses