Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
subjects. Supervise and mentor graduate students and research assistants. Research: Conduct innovative research in aerodynamic principles, airflows, turbulence, boundary layers, aircraft performance
-
optimizing treatment processes that use calcium carbonate-rich materials extracted from phosphate mine waste. These materials will be assessed for their capacity to neutralize acid gases (SOx, HF) emitted from
-
interfaces, and condensation surfaces under varied operating scenarios. Develop and refine performance simulation models and predictive tools to support system optimization and deployment strategies. Prepare
-
As part of the project "Digital Twin for Planning Under Uncertainty" , we are seeking a postdoctoral researcher to develop a digital twin aimed at enhancing the planning of OCP’s production activities
-
are gaining significant interest for sustainable seawater desalination. This postdoctoral position is part of a research project aiming to design, optimize, and evaluate electrochemical systems [electrodialysis
-
) The Expertise Center for Phosphates (CEPH) collaborates with industry through a joint program focused on enhancing industrial performance and achieving operational excellence. By leveraging applied research and
-
, the validation is monitored through design of experiments and optimization of workflows much more rapidly than conventional approaches. The HTMR is a 100% Applied Sciences research laboratory, and is setting up
-
algorithms for battery management systems (BMS) in electric mobility and micro mobility applications. The primary focus will be on creating and optimizing state-of-charge (SOC) and state-of-health (SOH
-
Location: Mohammed VI Polytechnic University (UM6P) Duration: [12–24 months, renewable based on performance] Start Date: 01-09-2025 Field: Catalysis,separation Chemical Engineering About UM6P
-
experts to integrate LLM-based solutions into predictive maintenance workflows. Explore the use of LLMs for anomaly detection, failure prediction, and optimization of maintenance schedules. Publish high