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agents or study interventions, as appropriate. Demonstrates expertise in participant assessment related to oncology (and related diseases) and treatment as evidenced by documentation and observation
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functionalities for autonomous driving, as well as an immersive, multi-agent urban simulation platform for validating autonomous driving algorithms, pedestrian–autonomous/manual vehicle interaction, and human
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modeling and coordination of interdependent infrastructure systems and their subsystems (such as networks of transportation, gas, electricity grid), multi-agent reinforcement learning for distributed
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buses with staff ID card For more details on benefits, please see: https://hr.utexas.edu/prospective/benefits and https://hr.utexas.edu/current/services/my-total-rewards . Purpose The IP Specialist
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networking events; Acts as a liaison between students, faculty, management, and administrative agents to explain programs and university rules and regulations; Assists and performs the oversight of operations
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. The Associate Director leads thought processes, achieves consensus, acts as a change agent, and pursues development of an environment that enables and enhances the transformative work of the PSOM, faculty
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Language Processing and Large Language Models, Distributed and Collective Artificial Intelligence, Reinforcement Learning and Multi-agent Reinforcement Learning or alternatively, from candidates innovating with AI in
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agents or study interventions, as appropriate. Demonstrates expertise in participant assessment related to oncology (and related diseases) and treatment as evidenced by documentation and observation
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its fullest potential. THE ROLE You will be working in the Humanoid Sensing and Perception (HSP) research unit coordinated by Dr. Lorenzo Natale, a multicultural and multi-disciplinary group
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interpretable AI. We also welcome candidates with interests in emerging areas such as multi-agent learning and the development of foundation models for electronic health records (EHRs). Strong skills in algorithm