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Field
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domains: Computer Vision for Industrial Environments Generative AI and Foundation Models in Advanced Manufacturing Agentic AI for Intelligent Decisions AI for Cybersecurity Selected candidates will lead
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learning (MARL). Analyze the learning dynamics and scalability of VQC-based agents under limited qubit and noise constraints, identifying the trade-offs between quantum advantage and model complexity
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state wide campus, with 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
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Title Extension Agent Working Title Extension Agent - On Farm Irrigation - Flathead Reservation Brief Position Overview This position resides at the MSU Flathead Reservation Extension Office in Polson
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affordance and lower infrastructure use develop an agent-based model that regards infrastructure as a socio-technical system reveal under which patterns of user behaviour, infrastructure performance and demand
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complex: interventions last for decades, have widespread impacts, require considerable investment, and must remain functional under highly uncertain future conditions. High-resolution agent-based models
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Title Extension Agent Working Title Extension Agent - On Farm Irrigation - Flathead Reservation Brief Position Overview This position resides at the MSU Flathead Reservation Extension Office in Polson
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deployment of AI and machine learning models that improve agricultural water decision-making. The position focuses on combining innovative AI/ML techniques with established physical-based and agent-based
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agent, leaders and researcher. Each supports the development of the bedside nurse, and fosters empowerment through knowledge to achieve excellence through the delivery of evidenced based nursing practice
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vision models Experience with event-based cameras, neuromorphic vision concepts, spiking neural networks, and/or neuromorphic computing is a plus Experience with, or willingness to learn, ROS 2 for robotic