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physicochemical and analytical tools such as spectroscopy, microscopy, porosity analysis, to assess structure-property relationships. Conduct comprehensive evaluations of developed fertilizer formulas in laboratory
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). Knowledge and familiarity of analytical techniques necessary for structural using GC/LC-MS analysis. Experience in molecular biology techniques: PCR, RT-PCR and Biochemistry methods such as colorimetric and
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: Introduction to experimental techniques and data analysis in optical research. Requirements: PhD in Experimental Physics, with a focus on nonlinear optics. Experience in experimental research on nonlinear
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. Supervise graduate students, develop teaching materials, and attract high level-students. Publish in well ranked and high impact-factor journals. Teach and develop research regarding the principles of GHG
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foundation in Bio/chemistry, Bioprocess, and Microbial Biotechnology. Additionally, candidates should possess expertise in molecular biology and chemical analysis. Proficiency in biostatistical analysis, data
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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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devices into complex digital systems. Advanced expertise in machine learning and artificial intelligence for predictive and prescriptive urban data analysis. Experience in visualizing and analyzing spatial
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such as spatial justice, socio-spatial segregation, territorial divides, and inclusive development. Proficiency in spatial analysis to examine inequality dynamics at various scales (urban, rural, regional
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assessment in urban environments. Proficiency in hydrological modeling software (SWMM, HEC-RAS, or equivalent). Experience with GIS tools (ArcGIS, QGIS) for spatial analysis and mapping of water flows and risk
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: Mathematical Modeling: Develop mathematical models to simulate and optimize the entire waste management chain—from collection to treatment. Data Integration and Analysis: Integrate real-time and historical data