Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
Laboratoire Modélisation et Simulation Multi Echelle UMR 8208 | Créteil, Île-de-France | France | about 2 months ago
this PhD thesis is to investigate fluid behavior within the vascular and lacuno-canalicular networks of bone through a combination of experimental characterization, computational homogenization
-
experimental and numerical methods in the field of fluid flows and rotating machinery * preparing, operating and developing experimental test rigs, measurement systems and data acquisition systems
-
systems for advanced human-relevant experimental platforms. This role focuses on system-level design and implementation of fluid handling architectures, ensuring reliable, reproducible, and
-
Processes ( https://simap.grenoble-inp.fr ) - is a multidisciplinary laboratory with more than 200 participants from chemistry, physics, materials and fluid mechanics. It is one of the leading laboratories
-
experimental background and enjoy designing, building, and improving laboratory experiments. Experience in one or more of the following areas is an asset: fluid dynamics, droplet impact, multiphase flow, heat
-
Experience None Additional Information Eligibility criteria * Experimental fluid mechanics * Vibrometry and Particle Image Velocimetry (PIV) * Data analysis * Expertise in fluid mechanics and acoustics
-
. Candidates should have strong experimental skills in fluid or continuum mechanics and an interest in soft matter physics. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR7010-FREBLA-003
-
applications. This includes conducting thermal-fluid experiments, developing and operating experimental test setups, analysing performance data, and supporting prototype validation under controlled and
-
is a strong community of researchers engaged in fundamental and applied research in fluid mechanics within the department of Engineering Mechanics. We are currently seeking an experimental PhD student
-
, energy transfer, thermochemical nonequilibrium, and coupled fluid-dynamic processes. Evaluate model predictions against experimental measurements and identify limitations, sources of uncertainty