Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
innovation in Africa and aims to position itself among world-renowned universities in its fields The University is engaged in economic and human development and puts research and innovation at the forefront
-
-renowned universities in its fields The University is engaged in economic and human development and puts research and innovation at the forefront of African development. A mechanism that enables it to
-
fields. The University is engaged in economic and human development and puts research and innovation at the forefront of African development. UM6P is located in the municipality of Benguerir, in the very
-
of education and development. This unique nascent university, with its state-of-the-art campus and infrastructure, has woven a sound academic and research network, and its recruitment process is seeking high
-
Job description: Sustainable Materials Research Center (SUSMAT-RC) is seeking a highly motivated and talented postdoctoral fellow to join our research team focused on the development of innovative
-
Institution/Department Mohammed VI Polytechnic University Chemical & biochemical sciences.green process engineering Research Unit on Microbiome and Host-Pathogen Interactions Project Overview: We
-
and the African continent. Its vision is honed around research and innovation at the service of education and development. This unique nascent university, with its state-of-the-art campus and
-
, comminution modeling, and ore characterization, and will contribute to developing an integrated beneficiation strategy that reduces operational costs, and energy consumption. This research aligns with broader
-
, ICP-MS/OES, QEMSCAN, XRD, SEM, alongside standardized environmental tests such as ABA, NAG, and TCLP to assess reprocessing and environmental remediation potential. Develop and interpret 3D block models
-
. Applying Operations Research techniques to support the selection among predefined extraction methods. Developing and using Machine Learning models for quality prediction and control of phosphate ore