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-Demonstrated experience with AI, machine learning and/or large language model (LLM) applications -Coursework or experience using data in an academic research setting Overtime Status Exempt: Not eligible
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in elevating Public Safety learning by creating engaging, accessible, and learner‑focused training experiences that support students, faculty, and staff. Job Description The Public Safety Division has
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these models. A positive attitude and a willingness to face uncomfortable situations with the goal of learning are crucial to success in this position. The PI will work directly with the candidate and seek
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, to teach in the financial planning and finance curriculum. The academic-year position is available beginning Fall 2026 at the Blacksburg campus. Required Qualifications A Bachelor's or Master’s degree
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anesthetic and surgical equipment. Experience and familiarity with veterinary anesthesia machines, surgical instruments, procedures, and terminology. Basic knowledge of animal handling and restraint
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, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees
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understanding of artificial intelligence and machine learning. • Experience with Dell PowerEdge servers and related technologies. • Experience with switches and routers. • Network+, Certified Kubernetes Admin
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-time RF machine learning, automotive cybersecurity, and radar threat warning models. Validation of SDD products is accomplished in VTNSI’s state-of-the-art 5,000 sq. ft. of wireless testing and lab
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that can be repurposed for viruses with pandemic potential. This includes working closely with computer scientists to utilize published “omics” datasets and machine learning approaches to identify FDA
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to learn farm machinery, including safe operation of up to 75hp tractors, airblast sprayers, pesticide application, and brush chopper/mowers. Safe driving and acceptable conviction checks are required