Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
Leadership • Lead and oversee a robust research program focused on phosphorus use efficiency, integrated soil fertility management, agroecology, and nutrient recovery innovations. • Drive the design of
-
Process Engineering Department (CBS) is an entity of the Mohammed VI Polytechnic University (UM6P). The main objective of CBS is to set up a distinctive research-teaching program of international level, in
-
Description of main research theme: looking for a candidate with strong expertise in advanced thin film deposition, surface modification, and characterization techniques, aimed at developing innovative protective coatings and functional materials for industrial applications. The successful...
-
a large and diverse range of healthcare needs. Our approach is to provide personalized, practical care for each patient Job Description The candidate will be required to: Prescribe a treatment program
-
Global Critical Zone Science Chair at the Institute For Advanced Studies at UM6P to develop and conduct a research program to strengthen the understanding of the geochemical processes that created
-
will join the Global Critical Zone Science Chair to develop and conduct a research program in greenhouse gases (GHG) emissions measurement and behavior in the critical zone, with a particular focus on
-
Internal to the company Program director Research & Innovation Department Human Capital Directorate 3- MISSIONS AND RESPONSIBILITiES R.H Strategy: Deploy the human resources policy at its perimeter in
-
Process Engineering Department (CBS) is a component of the Mohammed VI Polytechnic University (UM6P). The main objective of CBS is to set up a distinctive research-teaching program, of international level
-
in related program areas to gain exposure to and build knowledge on experimental/research activities and approaches, in order to improve conceptual development and industrial implementation. Identify
-
progression modeling. Explainability and interpretability of AI models to support clinical decision-making and regulatory compliance in healthcare settings. Scalability and computational efficiency in