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, and optimization of inorganic materials for various sustainable energy processes. We work diligently to contribute to the competitiveness of Moroccan and African companies by conducting research across
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CBS - Postdoctoral Position, Artificial Intelligence Applied to Metabolomics for Health Applications
-dimensionality and complexity of metabolomics data, requiring advanced AI/ML techniques for robust analysis and interpretation. Integration of multi-omics data (genomics, transcriptomics, proteomics, and
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communications-related performance metrics were considered, such as reliability, connectivity, throughput, delay, network lifetime, power efficiency, and security. In the literature, WSN design is typically
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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
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. 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
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) The Expertise Center for Phosphates (CEPH) collaborates with industry through a joint program focused on enhancing industrial performance and achieving operational excellence. By leveraging applied research and
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applications for a Postdoctoral Researcher to contribute to a project exploring the intersection between urban heritage and spatial justice. The postdoc will work within a multidisciplinary research team and
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cover 1/3 of the continental surfaces and play a crucial environmental role both at local and global scales. Forests sequester 25% of the carbon injected each year to the atmosphere by human activities
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our research team for an exciting project focused on the development of novel synthetic methods for the production of phosphorus derivatives. These derivatives play a crucial role in various industrial
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(e.g., Bioconductor, Galaxy, KEGG, Reactome, STRING). Proficiency in Python, R, and Unix/Linux-based environments for high-performance data analysis. Knowledge of biological network inference, causal