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Power Platform and Outsystems. Knowledge of AI-assisted coding such as GitHub Copilot or agentic coding frameworks. Relevant experience with databases such as Oracle, Postgres. Experience in automating
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Responsibilities: Develop novel quantum reinforcement learning (QRL) algorithms using variational quantum circuits (VQCs), focusing on the multi-agent setting. Design and implement efficient credit assignment
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state management and asynchronous updates (WebSocket/polling) Proficient in REST API integration and basic UX design Knowledge on GIS/aviation data (e.g. GeoJSON visualization, radar overlays) is
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interact with artificially intelligent systems, with a focus on social, cognitive, and ethical dimensions of these interactions. As Artificial Intelligence (AI) agents increasingly exhibit autonomy
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Responsibilities: Develop and refine LLM-powered agents capable of understanding user intent, adapting to context, and executing repetitive tasks without requiring traditional programming knowledge. Conduct
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project requirements are understood and met. Development Work: Support the design, configuration, and development of dashboards using agentic AI, visualization tools (e.g. Power BI, Tableau) or applications
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ATMRI at NTU is seeking a highly motivated Research Engineer to join its dynamic research team working at the forefront of Artificial Intelligence (AI), Multi-Agent Systems (MAS), and Natural
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NLP. Build and optimize LLM-powered solutions for risk management and behavioral analysis. Develop RAG workflows and intelligent agents for financial applications. Collaborate with cross-functional
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, and/or postdocs, as well as mentoring junior faculty. Experience in leadership and/or service roles. Application Procedure The closing date is 11 November 2025. Applicants are invited to submit
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. Investigate and build robust data and AI agent pipelines for continuous learning and knowledge acquisition, including annotation strategies and knowledge graph development for aquaculture stress events. Design