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on the status and availability of funds. Use various software applications, such as spreadsheets, relational databases, statistical packages, and graphics packages to assemble, manipulate, and format data and/or
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and open-source release of training and evaluation pipelines. The selected candidate will be integrated into a research team with established expertise in software security, program analysis, and AI
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information. Key Responsibilities: · Utilize application programs such as Microsoft Office and PantrySoft software proficiently. · Demonstrate excellent customer service skills and uphold professional conduct
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Servers and related operating software including VMWare Manage Desktop operating systems including Windows OS, Macintosh OS, and Linux Install and manage Microsoft Office Suite, Adobe Creative Cloud, SPSS
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collaboratively as part of a team. You will be a great communicator, and confident navigating information management systems and everyday software tools. What you’ll do: Undertake a range of administrative
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collaboration with actors from energy research, you will apply methods to enhance data and software interoperability, enabling the automated reuse of energy system analysis workflows. Following FAIR and Linked
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applications (https://www.cbr.washington.edu/analysis) to perform statistical analyses relevant to fish, dam, water, and natural resource management. The Software Engineer will play a lead role in the
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, industry codes and standards, power system analysis software, and project management budgeting/scheduling tools. In addition to project work, this position assists in field work to inspect/review large
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through software and AI. We lead key research in Open Radio Access Network (RAN) systems, contributing to the O-RAN ALLIANCE, and we are a founding member of the AI-RAN Alliance. We work with an industry
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: This position is not eligible for sponsorship. Minimum Qualifications: A master's degree in information technology, information systems, computer science, cybersecurity, software engineering, or a closely related