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”. Learning-based predictive decision-making for autonomous systems under uncertainty: This PhD project is focusing on advancing proactive decision-making in multi-agent autonomous systems by leveraging and
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agents may present a potential hazard. Syringes, needles, and medications are potentially dangerous and must be used with care. Work involving animals in various disease states may expose the individual
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animals with various disease states may expose the individual to viral, bacterial, and fungal agents known to be transmissible to man. Exposure to chemicals and anesthetic waste gases may be potentially
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, or Full Professor whose research and teaching advance core areas of AI, including, but not limited to, generative AI, neuro-symbolic AI, neuromorphic AI, embodied AI, multi-agent AI, human-centered AI
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work on synthesizing multi-source, multi-modal data into a coherent data infrastructure and define the appropriate policies and standards for hosting, managing, and sharing the data typically used
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anemia, cancer and palliative care. Patient care needs are identified through interdisciplinary assessments, team care planning, and a patient classification system. A multi-disciplinary approach is used
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difficult social situations (multi system impairments and or multiple co-morbidities) referred by a licensed provider. PRIMARY JOB RESPONSIBILITIES Administers treatments and physical agents as determined by
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for research clinical trials based on scope of practice. Collaborate with clinical staff, researchers, outside vendors, and other staff to administer treatment and study protocols. May coordinate multi-site
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research projects. Developing innovative methodologies for analyzing massive datasets in both cloud-based and on-premises environments, including experience in building agentic AI tools that integrate
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games, AI for content and/or design, multi-agent systems in games, computational creativity, AI for virtual production and virtual worlds, and explainable or ethical AI in games. We especially welcome