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Field
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Title Extension Agent Working Title Extension Agent - Roosevelt County Brief Position Overview The primary duty for County (Tribal) Extension Faculty is to assess local community needs, then to develop
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(e.g., Reinforcement Learning, Agent Based Modelling) to join our team full-time as part of a large international collaboration of European researchers (incl. Tobias Dienlin, Veronica Kalmus, Adrian
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Location: Mohammed VI Polytechnic University (UM6P) Duration: [12–24 months, renewable based on performance] Start Date: 01-09-2025 Field: Catalysis,separation Chemical Engineering About UM6P
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or Stata is required; • Familiarity with microsimulation, cost-effectiveness modelling, or agent-based models is highly desirable; • Experience with C++ or Python is highly desirable. Attributes • Strong
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innovative individual and/or population-based programs and projects to achieve desired quality, evidence-based, cost-effective, and optimal patient outcomes 3. Serves as a role model, facilitator, educator
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Language Model (LLM) Strong biostatistics knowledge including survival analysis and causal inference Experience with reinforcement learning, agentic AI systems and autonomous decision-making frameworks Data
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
, designing natural language interfaces for more intuitive navigation of the BDC environment, creating BDC-specific foundation models, and enabling large language models (LLM) and machine learning-based
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will perform experiments to investigate the activity and mechanism of action of new anti-cancer agents in preclinical models including cultured cancer cells, organoids, and mouse models. The Research
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Learning (e.g., DDPG, PPO, MARL). NLP including language understanding, generation, explainability and reasoning, and dialogue systems. Develop and evaluate AI models, including: Agent-based and LLM-based
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or mechanical engineering well above average and you should have experience in agent-based modelling and simulation. Fundamental knowledge of the key disciplines in aerospace engineering and especially in airport