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talks, awards, or memberships in professional societies. A good track record of supervising students, research staff, and/or postdocs. Demonstrated capacity to contribute to curriculum development and
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international journals Demonstrated the ability to obtain extramural funding A good track record of supervising research staff, postdocs, students, and interns in relevant fields Experienced in cross-disciplinary
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of experience, including at least 5 years of experience in career coaching/counselling/career services/graduate recruitment/human resources/executive search/learning and development. • Change agent and
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Professor appointment and granted a substantial start-up grant (SUG) to lay the foundation for their research ventures within the university. NTU invites outstanding early-career researchers (postdoc‐toral
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of large language models, retrieval augmented generation (RAG), AI agents, etc • Experience with customer engagement platforms and systems is an added advantage: o Email service providers and deliverability
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optimization and meta-heuristics; economic paradigms (game theory, mechanism design, electronic markets); agent modeling and simulation; agent planning, scheduling and decision support; agent learning and
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the PI and the project team. - Collaborate with PhD students, undergraduate researchers, and postdocs. Writing & Publications - Prepare and submit research papers to peer-reviewed conferences and journals
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undergraduates have gone on to create or participate in start-ups . Qualifications Candidate requirements are as follows: Capable of delivering postgraduate course: Multi-Agent Systems. Masters degree or PhD
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skills, to include Microsoft word/excels and power point for presentation and knowledge of software such as AutoCAD/REVIT/GIS including BIM will be preferred. • Ability to be versatile and agile with a
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. Key Responsibilities: Conduct research and development of AI/ML algorithms, including Reinforcement Learning and multi-agent decision making, for advanced ATFM concepts. Perform data mining, data