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CCSE - Associate Professor in Computer Science - Integrated Preparatory Cycle & Engineering Programs
structures, programming in Python, numerical methods, and the digital foundations of data analysis and artificial intelligence, through lectures, tutorials and computer-based sessions Annual teaching service
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real conditions. Collect and analyze operational data, diagnose performance issues, and propose evidence-based corrective measures or process improvements. Perform detailed data analysis and
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. Strong background in material performance testing and reliability analysis. Demonstrated ability to show initiative, work independently, and prioritize tasks effectively. Excellent organizational and team
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/Mechanical Engineering, Physics, or related areas. Hands-on expertise in polymer processing, synthesis, and characterization. Strong background in material performance testing and reliability analysis
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adsorbent materials (including Metal–Organic Frameworks (MoFs)), and performance optimization of water harvesting technologies across different climatic contexts. Responsibilities The successful candidate
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and plant analyses to assess nutrient availability and fertilizer efficiency. Design experimental protocols, supervise trials, collect data, and perform statistical analysis of experimental results
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, supervise trials, collect data, and perform statistical analysis of experimental results. Communicate research progress, technical challenges, and key results to the project team through reports
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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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, mentoring master students and PhDs Area of specialization: experimentation, modeling, and analysis of the processes in the water-soil-plant-atmosphere continuum. Education, qualifications, and experience
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, First-hands experience in entrepreneurship, in launching technology start-ups including essential elements such as prototyping/product visualization and early-stage venture funding would be a strong asset