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and integrate datasets. Maintain multiple Qlik Sense dashboards for reporting purposes. Conduct comprehensive validation checks on student datasets before data freeze periods and MOE submissions
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highly organized, proactive, and capable of working independently and collaboratively across multiple projects. Minimum Requirements: Master's degree At least 3 years of relevant laboratory experience
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analysis methods, and assisting in the code base needed to produce figures and analyses for publications and grant proposals. Provide programming support for multiple projects in the lab, primarily via
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with n8n (or similar platforms like Zapier, Power Automate). • Strong proficiency in Python (pandas, numpy) and SQL. • Experience working with APIs (REST/GraphQL) and integrating multiple systems
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 hours ago
stream chemistry data collected across a network of sites. The position will require downloading of data of field instruments and shared data repositories, and the development of code (R or Python based
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language processing of Chinese firm annual reports, job posting and policy documents, geospatial analysis of telecommunication infrastructure, and large-scale data management spanning multiple datasets to produce
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appropriate area and four years of relevant experience. Job Description: RESEARCH DATA REQUEST MANAGEMENT A primary role for this position is to prioritize and coordinate multiple research projects often under
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Functions Analyze and validate complex datasets across multiple sources and systems. Test and monitor ETL pipelines to ensure performance, accuracy, reliability and scalability. Collaborate with data
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operations are based on Linux operating environments, using Bash and Python, which means any successful applicant will have basic knowledge of the Linux operating system: file operations and navigating through
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activation as a conceptual framework. · Coordinate lab tasks and operations among multiple lab members, including mentoring, training, and oversight; providing conceptual, technical, and experimental