14 machine-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Texas A&M University System
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of structured and unstructured data. - Support visualization of machine learning outputs including model performance, feature importance, confidence metrics, clustering, classification, and anomaly detection
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. This is a high-demanding position that requires multitasking and continuous interaction with students, research engineers, and external customers. The Primary areas of focus may include: Machining and
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of Texas. The $200 million complex is designed to bring together researchers from U.S. universities, the military, and the private sector for collaboration, demonstrations, and high-tech testing
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manner. - Assists guests with checking in using a computer-based system. - Answers main building phone line using a multi-line phone system, routes calls and forwards messages. - Manages multiple Outlook
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for the department. - Prolonged periods of sitting at a desk and working on a computer. - Occasional lifting of items weighing up to 15-25 pounds (e.g., laptops, files, or office supplies) - Ability to multi-task and
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Information Technology, Computer Networking, Computer Science, or related field; or equivalent combination of education and experience. - One-year technical experience managing network switches, routers, Wireless Access
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environments. This research focuses on the integration of diverse platforms, ranging from tactical UTVs and military-grade UGVs to unmanned air vehicles (UAVs) and autonomous helicopters. We aim to solve
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platforms, ranging from tactical UTVs and military-grade UGVs to unmanned air vehicles (UAVs) and autonomous helicopters. We aim to solve the fundamental challenges of multi-agent coordination and shared
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agreement processing and identify trends. - Work with support staff and computer systems to ensure proper docketing, accurate data collection and management of compliance activities. - Manage and maintain
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on the integration of diverse platforms, ranging from tactical UTVs and military-grade UGVs to unmanned air vehicles (UAVs) and autonomous helicopters. We aim to solve the fundamental challenges of multi-agent