Sort by
Refine Your Search
-
vanadium for energy storage applications. Applying thermodynamic modeling tools (CALPHAD, FactSage) to simulate vanadium phase behavior and guide process improvements. Performing advanced characterization
-
-offs under varying operating conditions. Simulation Build a dynamic simulation of mine haulage energy flows and storage. Validate models in collaboration with industry partners and domain experts
-
—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
-
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
-
& Environmental Analysis Compare material intralogistics handling alternatives (IPCC, trolley assist, battery trucks, etc.) via life-cycle cost and emissions modeling. Simulation & Optimization Framework Build and
-
mining waste deposits (MATs). This project integrates mineralogical and mechanical characterization, pilot-scale testing, and advanced process simulation, with the objective of optimizing grinding
-
an ability to interpret and analyze simulation and/or experimental results. Ability to work in interdisciplinary teams that involve experimentalists and modelers Criteria of the candidates: PhD in Chemical
-
. 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
-
: 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
-
SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
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