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candidate will work on an exciting project focused on extracting and analyzing experimental and computational data to develop predictive models for polymer-based materials. This project aims to leverage
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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
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algebra methods targeting large-scale HPC systems. Optimization of linear algebra libraries for modern architectures (e.g., GPUs). Exploration of linear algebra methods in computational physics applications
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: Investigate structural, morphological, and interfacial degradation mechanisms to improve material stability and cycling performance. Scale-Up and Process Optimization: Work on improving synthesis methods
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. Degradation Studies: Investigate structural, morphological, and interfacial degradation mechanisms to improve material stability and cycling performance. Scale-Up and Process Optimization: Work on improving
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the synthesis process, with experience in photo-catalysis. Additionally, knowledge of gas-phase reaction product analysis using micro-GC and FTIR is essential. A solid understanding of general material synthesis
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in preparation and characterization of organic/inorganic materials (NMR, XRD,GC-MS FTIR, SEM, TGA, ICP…) are expected. Application and Selection Process Applications must be submitted online
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chemistry techniques. Possess proven skills in investigating inorganic materials, including conducting structural characterizations and studying their physical properties. Exhibit knowledge or expertise in
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solid and liquid materials. Additionally, knowledge of the physical and chemical properties of materials, particularly their magnetism, is required. The postdoctoral fellow will join the CBS-IGSAC
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to address enduring process challenges in Chemistry and Engineering disciplines and create an environment for interdisciplinary research. The research program of ACER is multidisciplinary, with faculty members