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GSMI - Postdoctoral Researcher - Plant Ecology and Soil-Plant Interactions in Vegetated Photovoltaic
data analysis (R, multivariate statistics). Experience in GIS. Strong scientific writing skills and command of scientific English. Initiative and autonomy to conduct fieldwork. Application Documents
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. Additional Skills (Preferred): Experience with environmental data analysis (R, multivariate statistics). Experience in GIS. Strong scientific writing skills and command of scientific English. Initiative
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. Scientific rigor, teamwork ability, and good communication skills (English proficiency required; French optional but appreciated). Position Details Contract: Full-time postdoc, 18-month fixed-term, renewable
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. Skilled in analytical methods for catalytic/separation agents materials characterization. Solid understanding of chemical kinetics principles. Key Responsibilities: Develop and optimize adsorbent catalytic
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for a 24-month postdoc position in geochemistry with a particular emphasis on the Upper Cretaceous-Paleogene marine sedimentary sequences in Morocco. We are especially interested in candidates with
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such as green infrastructure. Utilize digital tools (GIS, hydrological models) to analyze and visualize urban flood risks, droughts, and water flows. Assess the effects of water management strategies
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. Scientific rigor, teamwork ability, and good communication skills (English proficiency required; French optional but appreciated). Position Details Contract: Full-time postdoc, 18-month fixed-term, renewable
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Employer: MOHAMMED VI POLYTECHNIC UNIVERSITY Location: Morocco (MA) Closing date: 15 Aug 2025 Academic Discipline: Engineering & Technology , Chemical Engineering Job Type: Academic Posts , Postdocs
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application, demonstrated by relevant publications and research projects. Technical Skills: Proficiency in ecological modeling techniques, GIS (Geographic Information Systems), and statistical analysis tools
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hydro-climate studies. Strong background with GIS tools and spatial analysis techniques. Demonstrated expertise in climate variability assessment and the use of climate models. Experience with