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of computing and healthcare. Methodologies of interest include: Multi-modal learning Foundation models, including large language models Agentic AI Multi-agent AI systems Transfer learning Self-supervised
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, KY The Extension Agent for Family and Consumer Sciences will develop, implement, and evaluate a plan of work based on locally identified needs which will lead to improved quality of living for families
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University of California, San Francisco | San Francisco, California | United States | about 1 hour ago
offer components are subject to additional approvals based on UC policy. Your placement within the salary range is dependent on a number of factors including your work experience and internal equity
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of adult CA1. Computer work Inmed is made up of 11 research teams, 5 platforms, and 3 shared resources, representing a total of 140 people. The agent will be based at the Luminy campus, in the Calanques
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Research Team ("DESRT") performs cutting-edge research and development on discrete-event simulations and their wide applications, especially, simulations of social phenomena using agent-based models, and
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of the following activities: Activity 1: Assessment of the direct effects of the biological control agent Trichilogaster acaciaelongifoliae Assess the establishment of the biological control agent along
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operationalizing next-generation LLM solutions that enable ING to streamline core processes, strengthen compliance, and scale agent-based AI systems. The position potentially targets at one of the following three
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Posting Details Posting Details Job Title Extension Agent for Agriculture and Natural Resources in Butler County Requisition Number RE52485 Working Title Department Name 81W07: KCES Region West Area
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Posting Details Posting Details Job Title Extension Agent for Agriculture and Natural Resources - Estill County Requisition Number RE51877 Working Title Department Name 81C01: KCES Region Central
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the quality of uncertainty estimates by standard methods for LLMs, particularly with deep generative models, and (iii) develop a benchmark for uncertainty quantification in LLM-based scientific agents. The main