101 software-formal-method-phd Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY
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. Additionally, we are committed to advancing thermal energy storage technologies, all-solid-state batteries, green hydrogen and green ammonia production and storage methods. Through these activities, LIMSET plays
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work in: Renewable energy systems (solar, wind, smart grids) Advanced digital technologies (Industry 4.0, IoT, automation) Green process engineering (circular-economy methods, low-impact design) GTI’s
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Controlled-Release Fertilizers, Agronomy, Agricultural Sciences, and process development Job Qualifications: PhD in applied Chemistry, Materials Science, Chemical Engineering, Agronomy, Agricultural Sciences
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modeling software. Proficiency in chromatographic and FTIR analytical techniques. Skilled in analytical methods for catalytic/separation agents materials characterization. Solid understanding of chemical
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
candidate is expected to: Build and evaluate chemical databases based on experimental and computational data. Establish predictive models based on artificial intelligence methods. Utilize the developed models
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: Renewable energy systems (solar, wind, smart grids) Advanced digital technologies (Industry 4.0, IoT, automation) Green process engineering (circular-economy and low-impact methods) GTI’s mission is to train
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tools (CPLEX, SAP). Experience with data analysis software. Soft Skills: Analytical mindset and attention to detail. Ability to manage priorities and work under pressure. Excellent communication skills
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areas that aim to ensure the challenging Food and Water security goal in Africa, with a special focus on developing methods/tools that use multi-source remotely sensed data. The research aims to improve
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developing methods/tools that use multi-source remotely sensed data. The research aims to improve our understanding of the integrated functioning of continental surfaces and their interaction with climate and
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Knowledge of biogeochemical cycles Experience with process-oriented modeling Selection Criteria PhD degree or Master degree in a field such environmental sciences, agronomy, applied mathematics