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                computing (HPC). This position offers an exciting opportunity to work on cutting-edge research projects at the intersection of numerical linear algebra and advanced HPC. The candidate will join an 
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                research internships. Criteria of the candidate: PhD in the field of Cryptography, Computer security or any related field. Strong publication record in high impact conferences / journals. Very good 
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                21 Aug 2025 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Biological sciences Computer science Researcher Profile Recognised Researcher (R2) Established 
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                recently completed (or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically LLMs 
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                at the intersection of AI, NLP, and industrial applications. Contribute to the development of scalable and interpretable AI tools for real-world deployment. Qualifications: A PhD in Computer Science, Machine Learning 
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                investigate and optimize the use of concentrated calcium carbonate from phosphate mine interlayers in acidic gaz neuralization. Position description The postdoctoral will have the following tasks: Conduct 
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                molecules in chemistry, pharmaceuticals, and agrochemicals. The position provides a unique opportunity to work at the forefront of computational chemistry and AI, contributing to high-impact research with 
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                ) Country Morocco Application Deadline 2 Oct 2026 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is 
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                and contribute to the overall research mission of the group. Position Requirements PhD (completed or near completion) in Electrical Engineering, Computer Science, Physics,Applied Mathematics, or a 
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                progression modeling. Explainability and interpretability of AI models to support clinical decision-making and regulatory compliance in healthcare settings. Scalability and computational efficiency in