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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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integrate custom AI copilots and conversational agents. Develop, fine-tune, and evaluate LLM-based chatbots and domain-specific AI assistants. Document AI system designs, experiments, code, and processes
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-graph inference. Ensure the system is deployment-ready by supporting benchmarking of inference speed, compute efficiency, and scalability with concurrent agents. Maintain high software engineering
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such as updating tickets from member institutions, maintaining accurate knowledge base articles, maintaining accurate equipment records, and assisting staff members with the use of their computer
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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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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA | Italy | about 1 month ago
ledger–based infrastructures, with a specific focus on the security, privacy, accountability, and robustness of decentralized systems. Where to apply Website http://www.unibo.it Requirements Additional
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University of California, San Francisco | San Francisco, California | United States | about 21 hours ago
PEDS-NEONATOLOGY Full Time 88156BR Job Summary The overall goal of the research project is to aid in the development and application of novel agents to alleviate the burden of congenital heart
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. The postdoc will join the Data and Knowledge Management (DKM) group at the Department of Informatics. The research in the group focuses on Data Management, logic-based Knowledge Representation, Reasoning and
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Classification Title: Assistant/Associate/Full Professor Classification Minimum Requirements: a Ph.D. in computer science or related field Expertise in AI/ML, deep learning Expert proficiency in
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workflows, including adaptive, automated, or agent-based (agentic) workflows that integrate simulation, data analysis, and/or machine learning. Experience with computational workflows on large-scale HPC