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of opportunities, for students, professors, and staff. It offers a high-quality living and study environment thanks to its state-of-the-art infrastructure. With an innovative approach, UM6P places
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forefront and become a university of international standing. More than just a traditional academic institution, UM6P is a platform for experimentation and a pool of opportunities, for students, professors and
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of opportunities, for students, professors and staff. It offers a high-quality living and study environment thanks to its state-of-the-art infrastructure. With an innovative approach, UM6P places
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of opportunities, for students, professors and staff. It offers a high-quality living and study environment thanks to its state-of-the-art infrastructure. With an innovative approach, UM6P places
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international standing. More than just a traditional academic institution, UM6P is a platform for experimentation and a pool of opportunities for students, professors and staff. It offers a high-quality living
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international users in water and food systems. Job Description: Over the past few years, advances in computational power and the increasing availability of large volumes of remote sensing data with finer spatial
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Host program: College of Agriculture and Environmental Sciences Duration: 2 years (CDD) Description The Mohammed VI Polytechnic University (UM6P) has an opening for post-doctoral fellow in the field
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. Experience with data prediction and classification techniques. Computer Skills: Good proficiency with optimization tools (CPLEX, SAP). Experience with data analysis software. Soft Skills: Analytical mindset
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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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related field. Strong expertise in geometallurgy, mine waste characterization, applied geochemistry, and the assessment of environmental risks associated with mining waste. Demonstrated skills in 3D