Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
French National Research Institute for Agriculture, Food, and the Environment (INRAE) | Grenoble, Rhone Alpes | France | about 1 month ago
systems, both in the laboratory and in the field, to elucidate multi-physical and multi-scale couplings from the microstructure to the slope scale. Your work will enrich the modelling of instability and
-
electrification strategy, the research aims to develop a multidisciplinary framework that combines microstructure modeling, machine learning, and probabilistic simulation to link manufacturing parameters, foam
-
demand systematic experimental studies that will investigate build characteristics such as microstructures, precipitates, etc., besides functional properties such as static as well as dynamic loading
-
. ------------------------------------------------------------------------------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------------------------------------...
-
whenever needed. An important additional aspect of this project is the creation of samples with defined microstructures to validate the results of parallel PhD projects on modelling. The successful candidate
-
systems, and relationship between microstructure and rheology in complex fluids. Further information may be obtained from: Theyencheri NARAYANAN (tel.: +33 (0)4 76 88 21 21, email: narayan@esrf.fr
-
processes of thermoelectric materials (e.g., SPS, hot pressing) and optimization of technological parameters affecting microstructure and thermoelectric performance, proven competence in measuring and
-
-plastic bonds and finally the inertial aspects will be defined in order to define and solve the equations of motion of systems consisting of thousands of degrees of freedom. Where to apply Website https
-
composites for enhanced durability, performing microstructural analysis and mechanical testing. Topology Optimization & AI Integration: Use AI and machine learning to guide structural and topology optimization
-
attention to phenomena dependent on strain rate, temperature, thermal history, and microstructure; elasto-viscoplastic and micromechanical constitutive modeling, developed in academic and/or industrial