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on propulsion systems for small satellites, with emphasis on chemical, electric, and green micro-propulsion systems. They will also teach propulsion theory and lab-based courses, and contribute to CubeSat mission
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Cluster Contact: Pr. Johan Jacquemin – johan.jacquemin@um6p.ma Research Activities Develop independent research programs bridging experimental and Density Functional Theory (DFT) simulation of materials
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Mathematics, Data Science, or related fields. Strong background in Operations Research. Experience with industrial data processing, particularly in dynamic, real-time environments. Proficiency in machine
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Département / Department : Unité / Unit:Center for African Studies Université / University:Mohammed VI Polytechnic University Intitulé de l’offre Postdoc / Title of the Postdoc offer : L’Afrique dans l’œuvre de Mokhtar Soussi Summary of the subject: One of the missions of the Center for African...
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CBS - Postdoctoral Position, Artificial Intelligence Applied to Metabolomics for Health Applications
metabolomics data from clinical studies. Apply deep learning models (e.g., autoencoders, variational autoencoders, graph neural networks) for biomarker discovery, disease classification, and patient
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part of the project team. Applicant requirements Ph.D. in bioinformatics, proteomics, drug design and development, genomics, mathematics, computer science, or related fields Complete CV Short research
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of mining processes, mathematical modeling of flows and extraction decisions, and the use of machine learning algorithms to predict ore quality and optimize operational decisions. 2. Key Responsibilities
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: Development and application of MD simulations to study materials properties, phase transitions, and reaction mechanisms Multi-scale modeling approaches integrating quantum mechanics, density functional theory
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interdisciplinary teams that involve experimentalists and modelers Criteria of the candidates: PhD in Chemical/Mechanical Engineering, Applied Chemistry, Applied Mathematics, Physics, or related disciplines, with
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: Mathematical Modeling: Develop mathematical models to simulate and optimize the entire waste management chain—from collection to treatment. Data Integration and Analysis: Integrate real-time and historical data