110 combinatorial-optimization positions at MOHAMMED VI POLYTECHNIC UNIVERSITY in Morocco
Sort by
Refine Your Search
-
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
-
, 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
-
of water intended for agricultural use. The selected candidate will contribute to the development and optimization of desalination processes (membrane-RO), the analysis of treated water quality (especially
-
position) Domains: Physiology and Performance Optimization, Sport Psychology and Mental Performance, Sports Nutrition, … About the Position University Mohammed VI Polytechnic (UM6P) is recruiting a dynamic
-
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
-
. Skilled in analytical methods for catalytic/separation agents materials characterization. Solid understanding of chemical kinetics principles. Key Responsibilities: Develop and optimize adsorbent catalytic
-
. The successful candidate will collaborate with cross-disciplinary teams (biologists, engineers, chemists) to design, optimize, and operate bioreactors, digesters, and other equipment. By employing advanced
-
valorization of microalgae for biotechnological applications. Successful candidate is expected to have: Experience in isolation, culture techniques of microalgae and cyanobacteria strains, growth optimization
-
Fellow position in innovative prosthesis production. The successful candidate will work with a dynamic team of researchers to develop and optimize novel techniques for the production of prosthetic devices
-
testing, and advanced process simulation, with the objective of optimizing grinding performance and enhancing resource recovery. The ideal candidate will have a strong background in mineral processing