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real-world applications in green chemistry and industrial synthesis. Key Responsibilities: Develop and implement AI/ML models (e.g., graph neural networks, transformer-based models) for retrosynthetic
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represented by a graph, which is a collection of nodes that are connected to each other by edges. The nodes represent the objects of the network and the edges represent relationships between objects. A common
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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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theory and its transformative applications. Why Join the UM6P Vanguard Center? The UM6P Vanguard Center offers a unique environment that bridges the gap between theoretical research and impactful
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learning methods. Develop deep learning architectures (e.g., variational autoencoders, graph neural networks, transformers) for cross-omics data representation and feature extraction. Apply multi-view
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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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: 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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in some fashion. Mathematically, a network is represented by a graph, which is a collection of nodes that are connected to each other by edges. The nodes represent the objects of the network and the
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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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: Holomorphic functions, residue theorem, and their application to optical system analysis. Differential Geometry: Study surfaces and curves in optical materials using tensor calculus. Group Theory: Using