63 finite-element-methods Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
based on experimental and computational data. Establish predictive models based on artificial intelligence methods. Utilize the developed models to design and optimize the properties of materials. Conduct
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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