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simulators, graph network simulator surrogates and reinforcement learning to develop policy optimization to control robot-soil interactions in lunar environment. Responsibilities Perform basic research in
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alternative fuel vehicle research and the H2@Scale program. The College of Natural Sciences at UT Austin , strives to foster a work environment that enables all employees to contribute at the highest possible
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an ability to build relationships, influence, communicate and solve complex challenges with executive and operational teams. Proven ability to quickly change direction and adapt in a dynamic environment
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scalability in challenging environments. Our project is dedicated to crafting advanced machine-learning algorithms specifically designed for network optimization and security challenges. Through rigorous real
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information (SCI) environment. Strong communication skills, critical thinking, problem solving skills; self-motivated with ability to effectively prioritize multiple projects; and ability to work with people in
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the operation of the residence halls. Perform maintenance and repair tasks independently and/or assist journey-level craft workers. Assist in providing a comfortable living environment for students in residence
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individual to join our team as a Desktop Support Specialist. The ideal candidate will be responsible for providing various forms of technical support, in a predominantly Mac environment, to the faculty and
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mission environment is essential for this job. Purpose Contribute to science algorithm innovation, science data analysis and interpretation for gravity missions at CSR. Expected to publish scholarly
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on enhancing network efficiency, reducing overhead traffic, automating PACE communications planning, and improving scalability in challenging environments. Our project is dedicated to crafting advanced machine
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field. 3+ years’ experience in K12 or higher education environments. Excellent writing and editing skills, including copy-editing. Preferred Qualifications 5+ years' experience developing content