132 scholarship-phd-agent-based-modelling Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY
Sort by
Refine Your Search
-
skills are expected: PhD in Chemical Engineering, Materials Science, Chemistry, or a related field. Expertise in adsorption or membrane-based separation technologies (e.g., gas separation, water treatment
-
development and puts research and innovation at the forefront of African development. A mechanism that enables it to consolidate Morocco's frontline position in these fields, in a unique partnership-based
-
, in a unique partnership-based approach and boosting skills training relevant for the future of Africa. Located in the municipality of Benguerir, in the very heart of the Green City, Mohammed VI
-
develop innovative solutions based on the analysis of urban data (big data, IoT, GIS) to monitor and improve public health. You will contribute to modeling smart cities with a focus on health and designing
-
techniques may be employed to support the modeling of uncertainty, along with the formulation and resolution of planning problems using stochastic optimization methods. Key Responsibilities The selected
-
to the supervision of PhD students and research internships. Criteria of the candidate: PhD in the field of Cryptography, Computer security or any related field. Strong publication record in high impact conferences
-
About UM6P: Mohammed VI Polytechnic University (UM6P) is an internationally oriented institution of higher learning, that is committed to an educational system based on the highest standards
-
techniques using polymer- and nanomaterial-based coatings. These advanced coatings will enhance not only the chemical and thermal stability of the LFP materials but also improve their electrochemical
-
their thermophysical properties. Proficiency in computational fluid dynamics (CFD) simulation of thermal energy storage systems, enabling the modeling and analysis of heat transfer, fluid flow, and thermodynamic
-
of thermal energy storage systems, enabling the modeling and analysis of heat transfer, fluid flow, and thermodynamic behavior within the storage system to optimize design and performance. Demonstrated