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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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in Statistial models for optimizing the chemical process Skills in elemental & structural analysis using various existing techniques. Knowledge in advanced structural characterizations will be valued
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of strategic metals and the development of fresh Lithium-ion Batteries & Supercapacitors Experience in Statistial models for optimizing the chemical process Skills in elemental & structural analysis using
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composition will be determined using an elemental analyzer and mass spectrometer. Results will be expressed as δ13C and δ15N (‰) using PDB-Vienna as reference for 13C levels and air composition for 15N
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research team. The successful candidate will work on optimizing methods for nanofibers extraction from various types of biomass, focusing on the development of efficient, sustainable, and scalable processes
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compounds for use in agriculture, including their role as biostimulants, organic fertilizers, or crop protection agents. Develop and optimize methods to extract, isolate, and characterize valuable bioactive
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-state batteries, green hydrogen and green ammonia production and storage methods. Through these activities, LIMSET plays a crucial role in shaping a cleaner, more sustainable energy future for Morocco
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project as a driving force of a business model. About Entity (Hiring entity): The African Sustainable Agriculture Research Institute (ASARI) is a component of the Mohammed VI Polytechnic University (UM6P
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algebra algorithms, including sparse/dense linear systems solving and preconditioners. Scalable implementations of linear algebra methods targeting large-scale HPC systems. Optimization of linear algebra
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plant performance. Analyze experimental data using appropriate statistical methods and communicate findings through scientific publications. Work closely with researchers from other disciplines, such as