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consulting and data management services to UM6P researchers and their collaborators. UM6P has state of the art NGS sequencers and mass spectrometry and the largest HPC (High Performance Computing) cluster in
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frameworks (MOFs) and their composites using sustainable alternatives, such as waste and industrial by-products. The synthesized materials will subsequently be applied in catalysis and adsorption in large
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, large-scale measurements that can be used to estimate surface variables of interest. In particular, radar data can nowadays be used to obtain maps of surface soil moisture at a high spatial resolution (a
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algebra algorithms, including sparse/dense linear systems solving and preconditioners. Scalable implementations of linear algebra methods targeting large-scale HPC systems. Optimization of linear algebra
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microbiomes and interpret the data using bioinformatics tools. Collaborate with interdisciplinary teams of researchers, including soil scientists, biochemists, and ecologists. Publish research findings in peer
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are structured, organized, evolve and function at the whole genome level. Develop a novel bioinformatics tools for analyzing genomics data. Publish research results in high impact journals. Collaborate with other
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spatial distribution of critical topsoil properties in global drylands. Process large-scale geospatial and remote sensing datasets using High Performance Computing (HPC) systems. Conduct data analysis, and
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data. Publish research results in high impact journals. Collaborate with other UM6P researchers/groups on multidisciplinary research projects related to the field. Development and implementation
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. The most recent advances in large-scale gridded hydrometeorological data with relatively high spatio-temporal resolution offer an unprecedented opportunity to address some of these issues, particularly with
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, firewood, and panels. The rapid growth rates of eucalyptus with large wood exports at harvest make this ecosystem particularly interesting for studying and modeling biogeochemical cycles (Cornut et al. 2021