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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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. Utilize high-throughput sequencing technologies to analyze soil microbiomes and interpret the data using bioinformatics tools. Collaborate with interdisciplinary teams of researchers, including soil
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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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subject to performance and the continued availability of funds. Job Responsibilities Establishing research protocols for large scale on-farm experiments with the components of biochemical analysis
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learning algorithms for SOC and SOH estimation. Analyze large datasets from battery systems to improve model accuracy and performance. Conduct research on predictive analytics for real-time battery health
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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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multidimensional network data. This involves developing efficient and scalable algorithms that can handle large-scale datasets. Tensor Analysis: Analyze the structure and properties of multidimensional networks