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with, take specific precautions against, and/or be immunized against potentially hazardous agents. * May be exposed to blood borne pathogens. * This position is fully onsite and based primarily
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employees, retirees, and applicants. Also, responsible for identifying, reporting and the redaction of any information deemed sensitive within the case management system. Multi-tasks through various databases
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Intelligence, Reinforcement Learning and Multi-agent Reinforcement Learning or alternatively, from candidates innovating with AI in domains such as Medicine and Healthcare, Robotics and/or Autonomous Systems
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: Confer with extension staff, horticulture multi-county agents and specialists to properly diagnose and confirm new or emerging plant or pest problems shared across county line Document and report Florida
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-degree experience in computational systems modeling, simulation, and analytics. Experience with agent-based, biophysical modeling, or multi-scale modeling; OR Experience with analyzing multi-omics data
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, multi-agent systems in games, computational creativity, AI for virtual production and virtual worlds, and explainable or ethical AI in games. We especially welcome applicants who can connect these areas
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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
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. Your team You will collaborate with GRS colleagues who have expertise in methods and tools for spatiotemporal analysis of complex land systems (including agent-based modelling), spatial data
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employment. Smoke and Tobacco Free Policy: The University of California, Merced is a smoke and tobacco free workplace. Information and the Smoke and Tobacco Free policy is available at http
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policy is available at http://smokefree.ucmerced.edu . E-Verify: All employers who receive Federal contracts and grants are required to comply with E-Verify, an Internet-based system operated by