126 postdoc-in-nanoparticles-density-functional-theory Postdoctoral positions in Morocco
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pretreatment, enzymatic hydrolysis, fermentation, and other biochemical or thermochemical processes. Investigate the potential of seaweed-derived compounds for use in agriculture, including their role as
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Description du poste Postdoc / Postdoc description Département / Department : Unité / Unit : Center for African Studies Université / University : Mohammed VI Polytechnic University Durée / Duration
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, to protect the LFP particles while optimizing their performance in high-energy-density applications. The coated LFP materials should exhibit superior mechanical and chemical resilience, ensuring
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13219 Position Summary: We are seeking a motivated and skilled Postdoctoral Fellow to join our research team. The successful candidate will work on optimizing methods for nanofibers extraction from
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our research team as postdoctoral researcher at the MAScIR foundation program at Mohammed VI Polytechnic University in Benguerir, Morocco. The candidate will play a vital role in advancing research
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Responsibilities Conduct independent and collaborative research projects focused on the effect seaweeds bioproducts on soil biology, soil carbon, microbial diversity, and functional genomics. Apply molecular biology
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, particularly their role in soil nutrient cycling, nitrogen fixation, and carbon sequestration. Investigate the mechanisms through which these microorganisms interact with soil environments and plants
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represent the objects of the network and the edges represent relationships between objects. A common way to represent a graph is to use the adjacency matrix associated with the graph. However, adjacency
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Job Title: GCZSC – Postdoc in Emerging Phosphorus limitations in shifting cultivation systems and implications for cash crops yields and carbon sequestration Area of specialization: Critical Zone is
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
Materials Research Center (SusMat-RC) at UM6P. The successful candidate will work on an exciting project focused on extracting and analyzing experimental and computational data to develop predictive models