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: Coordinate sampling campaigns utilizing drone surveys and reverse circulation drilling techniques. Conduct comprehensive physical, chemical, and mineralogical characterizations utilizing techniques such as XRF
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advanced AI/ML methods for robust analysis and integration. Data sparsity, batch effects, and missing values across different omics layers and platforms. Cross-omics data fusion and representation learning
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should have experience in carbonate chemistry, and reactor design or process development. A keen interest in circular economy solutions, sustainable gaz neutralisation, and industrial by-product
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Mathematics, Data Science, or related fields. Strong background in Operations Research. Experience with industrial data processing, particularly in dynamic, real-time environments. Proficiency in machine
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or membranes. Proficiency in advanced characterization techniques, such as BET, FTIR, XRD, SEM, TEM, TGA, ICP, and gas sorption analysis. Good understanding of process design for adsorption or membrane-based
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libraries for modern architectures (e.g., GPUs). Exploration of linear algebra methods in computational physics applications and machine learning. Integrate and benchmark the GINGKO library, a sparse solver
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Conservation Agriculture and Agroforestry Soil Physics for Sustainable Land Management Professional Development and Networking: UM6P offers a range of professional development opportunities, including workshops
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applications in linkage with incubation and start-up ecosystems. About the Chemical & Biochemical Sciences Green Process Engineering (CBS) The Chemical & Biochemical Sciences Green Process Engineering Department
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to it): Philosophy and/or history of classical or modern Arabic physics Philosophy and/or history of classical or modern Arabic mathematics Philosophy and/or history of classical or modern Arabic logic
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the scope of microbial ecology, environmental microbiology, and bioremediation. Strong expertise in biostatistical analysis and molecular biology is highly required. The postoctorate will perform experiments