Sort by
Refine Your Search
-
21 Aug 2025 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Biological sciences Computer science Researcher Profile Recognised Researcher (R2) Established
-
. The successful candidate will develop advanced machine learning (ML) models to automate and optimize retrosynthetic analysis, facilitating the discovery of efficient and sustainable synthetic routes for complex
-
Researcher (R3) Country Morocco Application Deadline 19 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
-
of individual parts or components linked together in some way. Examples include the Internet, a collection of computers linked by data connections, human societies, which are collections of people linked by
-
21 Aug 2025 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country
-
by UM6P, stands as a premier engineering physicsschool in Morocco. Over a three-year program, it trains physicists to emerge as future entrepreneurs, leaders,and professionals in the Kingdom and across
-
: Pr. Johan Jacquemin – johan.jacquemin@um6p.ma Research Activities Develop independent research programs in Molecular Dynamics (MD) Simulation of Materials with a focus on computational modeling and
-
information science, spintronics, magnonics, phononics, and Terahertz photonics devices modeling. Research on computational physics of 2D materials, transition metal oxides, ultrafast Terahertz spectroscopy, Terahertz
-
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
-
) prediction models to ensure the safety, efficiency, and longevity of lithium iron phosphate (LFP) batteries. Key Responsibilities: Develop and implement machine learning algorithms for SOC and SOH estimation