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                depth in five points, 50 m away from each other. Soil C and N content and isotope composition will be determined using an elemental analyzer and mass spectrometer. Results will be expressed as δ13 C and 
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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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                . Responsibilities: Outline the key responsibilities of the position. This might include: Research innovative materials and production methods for prosthetic devices. Design and execute experiments to optimize 
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                ). Experience analyzing systems of access to public services (education, health, infrastructure, etc.). Experience with qualitative methods (surveys, interviews, focus groups) to gather community perspectives. In 
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                Skills: Proficiency in economic and financial analysis methods, and modeling tools. Publications: A strong record of publications in international scientific journals. Communication Skills: Excellent 
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                by relevant publications and research projects. Technical Skills: Proficiency in modeling and simulation methods for energy networks. Experience with energy network analysis tools (e.g., MATLAB, Python 
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                nationally, continentally, and globally. About CBS: The Chemical & Biochemical Sciences, Green Process Engineering (CBS) department is a component of Mohammed VI Polytechnic University (UM6P). CBS aims 
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                component of the Mohammed VI Polytechnic University (UM6P). ASARI is located in Laayoune City and constitutes a structure of practical-based research leveraging up-to-date science and technology with a vision 
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                component of the Mohammed VI Polytechnic University (UM6P). It is located in Laayoune City, in south of Morocco. Its vision is targeting real, local, regional, and African challenges in the fields 
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                apportionment, and related analytical methods (e.g., receptor models, chemical transport models, statistical analysis). Proficiency in programming languages (e.g., R, Python, MATLAB) and familiarity with relevant