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engineering projects is increasingly complex, particularly when balancing human expertise and Large Language Models as collaborative agents. This project aims to propose a reputation-based agentic Artificial
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and proficiency with computer-based programs such as electronic medical records systems, MS Word, MS PowerPoint, and MS Excel. Preferred Qualifications At least three years of experience managing adult
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restorative measures. provide administration of medications and therapeutic agents necessary to implement treatment, disease prevention, or rehabilitative plan of care. perform skin tests, immunizations
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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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. Experience developing and fine-tuning Large Language Models (LLMs) and transformer-based architectures. Practicalexperience building AI agents, including agentic workflows, autonomous decision-making pipelines
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27 Feb 2026 Job Information Organisation/Company Hokkaido University Department Center for Human Nature, Artificial Intelligence, and Neuroscience (CHAIN) Research Field Information
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-assisted AI and control systems is to deliver the right and significant piece of information to the right point of computation (or actuation) at the correct moment in time. To address this challenge, you
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support research in: • Transportation systems modeling and simulation, including O/D modeling, multimodal network modeling, agent-based or behavioral modeling • Large-scale computing, cloud-native analytics
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) Application Deadline 12 Apr 2026 - 00:00 (UTC) Country Morocco Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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, single cell, and other biological data. Will be responsible for the development and implementation of AI agents and pipelines as innovation tools for biological discovery. Follow standard programming