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neural networks, transformers) for cross-omics data representation and feature extraction. Apply multi-view learning, transfer learning, and data fusion techniques to integrate heterogeneous omics datasets
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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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interdisciplinary team focused on developing innovative numerical algorithms and software to address emerging challenges in scientific computing and machine learning. The research will emphasize both theoretical
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Qualification Type: Postdoctoral position Location: Ben Guérir, Morocco Funding for: National/International Researchers Funding amount: To be defined Hours: Full Time Placed On: 21/05/2025 Closes
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research and industrial-scale implementation, working on the design of novel cathode compositions, understanding degradation mechanisms, and improving electrochemical performance. The postdoc will work with
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research and industrial-scale implementation, working on the development of novel cathode compositions, understanding degradation mechanisms, and improving electrochemical performance. The postdoc will work
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. Scientific rigor, teamwork ability, and good communication skills (English proficiency required; French optional but appreciated). Position Details Contract: Full-time postdoc, 18-month fixed-term, renewable
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of solving real African agriculture challenges leveraging up to date science and technology. Oriented towards Africa, CAES acts in connection with a wide network of universities and research centers
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for a 24-month postdoc position in geochemistry with a particular emphasis on the Upper Cretaceous-Paleogene marine sedimentary sequences in Morocco. We are especially interested in candidates with
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infrastructures to enhance energy management, transportation networks, and urban sustainability. Key Responsibilities Design and implement digital twins to monitor and optimize urban systems, including