47 modeling-and-simulation Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY
Sort by
Refine Your Search
-
-dimensional CFD simulations based on the Reynolds-Averaged Navier–Stokes (RANS) approach will be performed to model two-phase flow behavior and mixing within the CSTR. These simulations will be used to evaluate
-
—governing the co-precipitation process. Leveraging the ASCC supercomputer at UM6P, three-dimensional CFD simulations based on the Reynolds-Averaged Navier–Stokes (RANS) approach will be performed to model two
-
: Experience in salt or potash processing. Familiarity with process modeling and simulation tools. Experience with industrial or pilot-scale testing. Application Documents: Interested candidates should submit
-
to work both independently and within a collaborative research environment. Preferred qualifications : Experience in salt or potash processing. Familiarity with process modeling and simulation tools
-
candidate will work on an exciting project focused on extracting and analyzing experimental and computational data to develop predictive models for polymer-based materials. This project aims to leverage
-
morphing-wing UAV prototypes. Methodology: Design and Simulation: ABAQUS, SolidWorks, ANSYS, or COMSOL for topology optimization and aerodynamic modeling. Fabrication: Composite layup, 3D printing (FDM/SLA
-
Materials Research Center (SusMat-RC) at UM6P. The successful candidate will work on an exciting project focused on extracting and analyzing experimental and computational data to develop predictive models
-
. The research assistant will: Participate in CAD/CAE modeling and structural optimization of UAV frames. Contribute to fabrication using composite and polymer additive manufacturing. Prepare and execute
-
model improvements in simulating Moroccan and North African climate. Carry out evaluation of the model outputs and prospect possible changes to improve water cycle modeling, including precipitation
-
regarding the production of targeted crops in Africa, work with the project team and valorize data as review publications. Develop and implement simulation models to predict yields from secondary data sources