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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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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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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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track record of supervising research staff, postdocs, students, and interns in relevant fields Experienced in cross-disciplinary research initiatives and collaboration. Demonstrated excellence in research
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record of supervising research staff, postdocs, students, and interns in relevant fields Experienced in cross-disciplinary research initiatives and collaboration. Demonstrated excellence in research
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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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. Preferable to have a demonstrated capacity to supervise undergraduate and graduate students, research staff, and/or postdocs. Requirements at the Associate Professor (tenured) and Full Professor (tenured
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publications in reputable peer-reviewed international journals Demonstrated the ability to obtain extramural funding A good track record of supervising research staff, postdocs, students, and interns in relevant
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., BATA). Provide expert guidance on the safe handling, storage, transport, and disposal of biological agents, genetically modified organisms (GMOs), and biological toxins. Lead or co-ordinate