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validation of algorithms using these databases, and related data analysis. The ideal candidate will have a strong understanding of SQL and expertise in programming languages such as Python and/or R. Main
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and RISC-V architectures. Investigate various aspects of system design, including: Topology exploration, routing algorithms, protocol and flow control design Chiplet oriented and interposer design
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architectures. Investigate various aspects of system design, including: Topology exploration, routing algorithms, protocol and flow control design Chiplet oriented and interposer design strategies, SiP and
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. Candidates having relevant research or working experience in LLM/VLM and AI decision-making algorithms for autonomous vehicles will be preferred. Good communications skills and the ability to work
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cooperative, competitive, and mixed settings. Collaborative decision-making frameworks and decentralized learning algorithms. Adaptive, meta-learning, and context-aware strategies to enhance policy
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NTULearn for all MSc programmes. Coordinate Student Feedback on Teaching (SFT): preparation, distribution, and compilation. Provide event support for programme-level activities and student engagement
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. The roles of this position include: Development of algorithms to improve memory/sample/time efficiency of LLM training. Development of a workable prototype system with capabilities such as conversational
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Power Engineering • Relevant experience in power electronics, wide band gap semiconductor devices, multilevel inverters, soft-switching high-frequency power converters, drives, control algorithms
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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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of projects in the lab or assisting PI/postdoc with the projects, so prior research experience is necessary. In particular experience in the areas of molecular and cell biology will be favored