Sort by
Refine Your Search
-
will use finite volumes methods combined with physics-informed neural networks (PINNs) which offer a flexible technique that merges data-driven approaches with the underlying physics principles, enabling
-
the coupled numerical model that we have developed for surface and subsurface flows. We will use finite volumes methods combined with physics-informed neural networks (PINNs) which offer a flexible technique
-
Job Description As an element of our scientific research activities at the CBS department, we are conducting innovative research on the development of advanced materials for biomass conversion
-
Positions: two postdoc positions in the development of electrodes materials for ultrahigh performance of metal-ion batteries via advanced multi-scale computational modeling About UM6P: Located
-
to improve efficiency and economic feasibility. Exploring novel material recovery methods to enhance metal extraction and reusability. Optimizing existing recycling processes to reduce energy consumption and
-
component of the Mohammed VI Polytechnic University (UM6P). It is located in Laayoune City, in south of Morocco. Its vision is targeting real, local, regional, and African challenges in the fields
-
composite materials, derived from inorganic by-products and other sustainable precursors, is available at CBS.GPE. This position involves the design, synthesis, and characterization of metal-organic
-
chemistry, in particular the evaluation of trace elements in phosphate value chain. In terms of research, the candidate will reinforce the team of the CBS department. His/her experience and expertise should
-
highly motivated candidate with strong expertise and interest in developing MOFs and their composites for sensing. Metal-organic frameworks (MOFs) have gained significant attention in sensing due
-
and doctoral student. Publish results in high impact factor journals. Education, qualifications, and experience Ph.D. in Genomics, Molecular Biology, Bioinformatics or equivalent Expertise in