250 computer-programmer-"FEMTO-ST"-"FEMTO-ST" positions at MOHAMMED VI POLYTECHNIC UNIVERSITY
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possible. Establish collaborative links with the core scientific personnel in related program areas to gain exposure to and build knowledge on experimental/research activities and approaches, in order to
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Green Process Engineering Department (CBS) is a component of the Mohammed VI Polytechnic University (UM6P). The main objective of CBS is to set up a distinctive research-teaching program, of international
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the mechanisms of plant cell memory and stress priming. The School of Computer and Communication Sciences at Mohammed VI Polytechnic University (UM6P), Benguerir, Morocco is currently looking for motivated and
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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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(CBS) is a component of the Mohammed VI Polytechnic University (UM6P). The main objective of CBS is to set up a distinctive research-teaching program, of international level, to meet the research and
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Location: University Mohammed VI Polytechnic, College of Computing, Bioinformatics Laboratory, Ben Guerir, Morocco. Duration: 2 years About the Lab/Institution: The Bioinformatics Laboratory
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Description of main research theme: looking for a candidate with strong expertise in advanced thin film deposition, surface modification, and characterization techniques, aimed at developing innovative protective coatings and functional materials for industrial applications. The successful...
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engineering physics school in Morocco. Over a three-year program, it trains physicists to emerge as future entrepreneurs, leaders, and professionals in the Kingdom and across Africa. The program awards an EPS
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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