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Language Processing (NLP)/Large Language Models (LLMs) with a focus on high impact research. Key Responsibilities: Conduct research in: Multi-Agent Systems and Reinforcement Learning (e.g., DDPG, PPO, MARL). NLP
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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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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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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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detection, summarisation, LLM agents) to enhance workflows. Qualifications What You’ll Bring • 2–4 years of experience in workflow automation, data engineering, or systems integration. • Hands-on experience
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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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.) pertaining to use of hazardous materials, infectious agents, and operation of ABSL3 and BSL2 laboratories. Perform other Ad Hoc related duties as assigned for the operation of the facility. Qualifications
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also mentor Junior PIs, postdocs and PhD students. The Senior Principal Scientist position is equivalent to that of an Associate/Full Professor in the university system. The successful candidate can look
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deliver practical AI solutions based on University’s generative AI tools and platform (e.g. no code AI Agent builder and APIs). • Stay current with industry developments in the generative AI space and