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systems for aligning real-world health data to standards like OMOP CDM, FHIR, and UMLS Agent-based workflows that explain, refine, and adapt semantic mappings over time Hybrid architectures that combine
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will be responsible for providing administrative support to the Agriculture and Natural Resources and Horticulture program areas and the Agriculture and Natural Resources and Horticulture County Agents
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verification and Large Language Model (LLM) safety, focusing on extending state-of-the-art logic-based automated reasoning tools such as ESBMC (https://github.com/esbmc/esbmc ) to address safety and reliability
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UiO/Anders Lien 19th April 2026 Languages English English English PhD Research Fellow in Control and Optimization for Multi-Agent UAV Systems Apply for this job See advertisement About the position
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programming will be advantageous. Knowledge of intelligent decision agents based on graph neural network or similar will an advantage. Key Competencies Good knowledge in reliability analysis. Experience in
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, wait time, abandonment rates, and agent performance. Identifies trends and areas for improvement, using data to make informed decisions around staffing and workflow optimization. Leads a team of
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the following is desired: - Agentic and sequential decision-making for autonomous experimentation, including active learning and optimal experimental design - Generative and probabilistic modeling
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curriculum. Contribute to a comprehensive assessment plan and utilize data to make evidence-based enhancements to programs and services. Actively recruit, advise, develop, and support the Community Council
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. You will then develop a procedure to translate these quantified relationships to a predictive agent based model for the investigation of animal movement behaviour under future climate scenarios. We also
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position involves assisting in the development, deployment, and evaluation of AI-based models and tools for engineering applications. At the end of the project, whole work repository needs to be uploaded in