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PI for continued support. Develops new code/algorithms for data analysis. Collaborating with other scientists/faculty and co-mentoring graduate students as needed. Qualifications Ph.D. in Atmospheric
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will be given to candidates with strong expertise in foundational research on robotics, machine learning algorithms, optimization, and statistics. As a major department with an enrollment of about 1,500
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variety of hand and power tools to perform necessary work. Assists with the deployment of various types of data collection systems, sensors, and components. Perform field activities in extreme weather
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sensors. We are looking for talented individuals to join our team and truly make an impact by helping to solve the toughest challenges for our nation's security. The Systems Offices, within the Texas A&M
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), sensors, projectors, and computing across multiple sectors of the state’s economy. The VPI is a technology-first approach that fuses the study and application of computer science, human-computer interaction
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), sensors, projectors, and computing across multiple sectors of the state’s economy. The VPI is a technology-first approach that fuses the study and application of computer science, human-computer interaction
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and algorithms. Train, test, and optimize AI/ML models for production environments. Integrate AI/ML components into web-based and backend systems. Ensure security, scalability, and maintainability
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Research Group (GERG), the Center for Autonomous Vehicles and Sensor Systems (CANVASS), the Offshore Technology Research Center (OTRC), the Center for Geospatial Sciences’ Application and Technology Group