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an innovative approach, UM6P places research and innovation at the heart of its educational project as a driving force of a business model. In its research approach, the UM6P promotes transdisciplinary
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postdoctoral researcher will focus on the development of innovative high-temperature processes for the transformation, upgrading, or enrichment of mineral resources, particularly those derived from complex
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air quality modeling tools. Experience with large datasets and data processing techniques. Excellent written and oral communication skills, including the ability to present complex research findings
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of mineral resources, particularly those derived from complex or secondary ores. The work will include the study of the thermal and physicochemical properties of minerals, design and execution of thermal
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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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of morphing drone prototypes by combining structural optimization, lightweight design, and experimental testing. The research assistant will: Participate in CAD/CAE modeling and structural optimization of UAV
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interpretation of remote sensing data, allowing for rapid decision-making in critical situations, such as during natural disasters. AI models can process big datasets efficiently, helping to make informed
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embeddings, contrastive learning, or foundation models. Solid background in linear algebra, probability, and statistics. Strong programming skills with deep learning frameworks (e.g., PyTorch) and standard
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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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; Assess the effect of using organo-mineral resources on soil carbon stock in the field; Implement agronomic assay to evaluate the stability of clay-humic complexes under culture conditions and how