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Department Qualification Type: Postdoctoral position Location: Ben Guérir, Morocco Funding for: National/International Researchers Funding amount: To be defined Hours: Full Time Closes: Until filled Reference
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terms of research and education, covering all aspects of computer science, including artificial intelligence, machine learning, data sciences, algorithms, databases, cloud computing, software engineering
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, including artificial intelligence, machine learning, data sciences, algorithms, databases, cloud computing, software engineering, networking, operating systems and security. Job Description We are seeking
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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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: To be defined Hours: Full Time Placed On: 21/05/2025 Closes: Until filled Reference: Application Deadline : Until Filled Job Description: The CBS department at UM6P is looking for a highly motivated
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-to-date science and technology. Oriented towards Africa, ASARI acts in connection with a wide network of universities and research centers around the continent in order to link real field issues with up
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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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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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at Benguerir (50 km north of Marrakech), Morocco. The net salary per month is 2000 USD. The initial appointment as Postdoctoral researcher will be for one-year renewable depending on satisfactory performance