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. Experience working with research data, including designing or operating pipelines for ingesting, transforming, and managing structured and unstructured data. Experience working with high-performance computing
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with single-cell RNA-seq analysis. Experience with multi-omics integration and systems biology approaches. Familiarity with cloud computing, high-performance computing clusters, and machine learning
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solutions for technical problems. Serves as a resource for internal and external staff. Provides technical guidance for the development of computing plans for customers. Provides technical guidance and
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technical progress reports to research sponsors. -Ensures program has sufficient and efficient computing capabilities (high performance research computing, workstations, software, network attached
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with advanced characterization tools (e.g., PPMS, XRD, SQUID magnetometry, optical spectroscopy, or scanning probe microscopy). Experience with high-performance computing or cloud-based machine
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the service desk will have the opportunity to mentor student technicians by providing feedback and coaching on their performance in addition to leading and participating in IT projects and initiatives
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approaches for high-dimensional dependent data, and data sketching approaches for massive data. Opportunities to Contribute: Develop statistical/machine learning methodology for multi-modal imaging data
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operations and performance enhancements. Establishing preventative maintenance programs and/or working with tool manufacturers to troubleshoot problems and achieve a high up-time for the user base. What We
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coordination with the PI and project objectives. Process, clean, curate, align, and analyze high-resolution image and process datasets; develop reproducible pipelines for data quality assessment
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) activities within their departments. TAMUK utilizes 4DX as the framework for pursuing strategic goals by creating a culture of high performance. This requires participation from all faculty and staff