130 finite-element-method "https:" "Universidade do Minho ISISE" Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY
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physiological performance. The research will explore interactions between trace elements, soil microbial communities, and plant–soil feedback mechanisms, as well as their impacts on key soil health indicators
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physiological performance. The research will explore interactions between trace elements, soil microbial communities, and plant–soil feedback mechanisms, as well as their impacts on key soil health indicators
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(As) in agricultural soils, and their effects on plant growth, nutrient uptake, and physiological performance. The research will explore interactions between trace elements, soil microbial communities
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will use finite volumes methods combined with physics-informed neural networks (PINNs) which offer a flexible technique that merges data-driven approaches with the underlying physics principles, enabling
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completion method insufficient. However,we may collect other information and features about the elements of the network. Therefore, side information about the nodes along with the observed edges need to be
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. This position involves the design, synthesis, and characterization of metal-organic frameworks (MOFs) and their composites using sustainable alternatives, such as waste and industrial by-products. The synthesized
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applied to the phosphate industry. Key Responsibilities Analysis and Monitoring of Radionuclides and Heavy Metals: Develop and implement nuclear analysis methods to characterize phosphate ores and their by
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for photocatalytic CO2 conversion and water splitting. Materials synthesis will involve wet chemistry and known solid-sate methods such as mechanochemical or pyrolysis. Required qualifications: The candidates must
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, potassium and other valuable elements from industrial residues. Area of Research: Valorization of industrial by-products derived from sedimentary potash processing and phosphoric acid production. The research
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. Publish results in high impact factor journals. Education, qualifications, and experience Ph.D. in, Agronomy, modeling, biostatistics, or related field The applicant should have documented knowledges in