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of algorithms and models to realistically simulate forest ecosystem dynamics under varying conditions of land use change, forest and land management, climate variability, and other environmental stressors
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areas, such as AI/ML algorithms and theory. We also encourage applicants with a strong computer science background and research in applied AI/ML to apply. This is a 9-month tenure-track position located
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will be published in peer-reviewed journals and technical reports, and algorithms and models will be shared with stakeholders and the scientific and forest management communities. Engage with industry
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emissions and soil health parameters. Results will be published in peer-reviewed journals and technical reports, and algorithms and models will be shared with stakeholders and the scientific and forest
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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 of applications
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by athletic department. Will report any violations of these established rules, which may arise, to the proper officials. Assist head coach in coordinating team travel, arranging competitive schedule
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algorithms and accompanying documentation to augment autonomous vehicle behaviors. - Produces efficient code subject to computational resources to function in real-time systems. - Tests and deploys programs
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or willingness to learn -Ability to use Outlook (e.g., calendar invites, scheduling polls, emails, etc), scheduling polls (e.g., When2Meet, Doodle Poll, etc.), Microsoft Office (e.g., Word, Excel, and PowerPoint
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to students on degree programs, academic schedules, course schedules, and course planning and provides input on probationary status decisions. Assists students with adds/drops, withdrawals, and changes
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develop a schedule that will complement your position and your class schedule. Work up to 19 hours per week during the school year, with more hours possible during breaks. Time as a TEEX student worker