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algorithms for applications or design. · Efficient algorithms for emulation of quantum computing and networking. · Developing and applying machine learning algorithms to optimize quantum computing
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must be able to teach Machine Shop, a one-credit laboratory course required for engineering students. The course introduces students to safe and effective operation of common machine tools, including
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systems/ machine learning, cybersecurity, or related technology management functions is required. Doctoral degree preferred in computer science, artificial intelligence, machine learning, information
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software tools (e.g., SAS, R, SPSS, Python) and techniques (e.g. regression modeling, machine learning, data mining, clustering). Familiarity using workflow automation tools, like Alteryx, and/or experience
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evaluation to improve student learning experiences. Working with faculty and integrating best practices in online learning, they will create course development plans, edit course materials, and select
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. Essential Functions Train and work with generative AI and multimodal datasets Collaborate with teams to define project requirements and deliverables Contribute towards development, evaluation of machine
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demonstrated. The ideal candidate is organized, detail-oriented, and eager to learn a wide variety of research skills. Strong communication, reliability, and the ability to work collaboratively in a fast-paced
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for the spring term 2026. The position is outside of the tenure stream. The successful candidate will be expected to teach Geology & Environmental Science, Environmental Studies courses at the undergraduate level
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financial summaries for the Dean and Senior Administrators. The Financial Analyst will work in multiple computer applications such as Microsoft Excel, Tableau, Oracle Hyperion Planning to develop dashboards
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, the journal editors and designers. This role will also teach sections of OUR courses such as First Approaches to Research. The program coordinator will supplement OUR programs by planning experiences