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Field
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operations. The successful candidate will participate in animal-based studies, cell line culture, patient-derived organoid workflows, tissue collection and processing, laboratory maintenance, sample tracking
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and the life sciences. While experience with modern data-driven or AI-based methods is welcome, it is not required; candidates with strengths in foundational computing, modeling, simulation, systems
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-relevant research in embodied AI, simulation and digital twins, cybersecurity, robot operations and related areas, with a strong emphasis on translation into real-world applications. Through collaborations
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faculty based on University campuses, at Research and Extension Centers and in every Arkansas county. It consists of the Arkansas Agricultural Experiment Station (AES) and the Arkansas Cooperative Extension
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/2026 Requisition Number PRN17264N Job Title Cashier Working Title Box Office Ticket Agent Career Progression Track A Track Level FLSA Code Nonexempt Patient Sensitive Job Code? No Type Non Benefited
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all tasks within work package "WP1. ASP Foundations and Extensions", which is the project's main fundamental part and encompasses activities T1.1 (Equilibrium Logic), T1.2 (Temporal ASP) and T1.3 (Agent
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 3 months ago
EDUCATION AND EXPERIENCE: - Experience with system dynamics, agent-based modeling, social simulation, computational social science, model validation/testing, causal or feedback modeling, or policy modeling
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conditions. The research will investigate agentic AI and reinforcement learning-based control for adaptive spectrum usage, power control, scheduling, and multi-RAT coordination (integrating 5G/6G Terrestrial
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challenging. What starts here really does change the world. For more information about Texas McCombs please visit: https://www.mccombs.utexas.edu/ Purpose This position will lead talent acquisition activities
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exemplary colleagues, trusted partners, valued advisors, and agents of positive change. More about FAD: Within and across the University, we aim to be exemplary colleagues, trusted partners, valued advisors