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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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                Computational Chemistry, Materials Science, or a related field. Strong background in computational chemistry techniques, including molecular dynamics, quantum mechanical simulations, and machine learning 
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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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                To be considered for this role, you will ideally have: PhD in Computational Chemistry, Materials Science, or a related field. Strong background in computational chemistry techniques, including molecular 
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                . This might include A PhD in a relevant field such as mechanical engineering, materials science, or biomedical engineering, or a related field. Strong background in materials characterization and manufacturing 
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                (R3) Country Morocco Application Deadline 19 Sep 2025 - 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 
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                (R3) Country Morocco Application Deadline 19 Sep 2025 - 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 
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                ) Established Researcher (R3) Country Morocco Application Deadline 19 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded 
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                21 Aug 2025 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Computer science Engineering Researcher Profile Recognised Researcher (R2) Established Researcher 
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                strategic initiative to develop temperature-resilient crops by harnessing the mechanisms of plant cell memory and stress priming. The School of Computer and Communication Sciences at Mohammed VI Polytechnic