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regular basis. Coordinate with all units to manage the NTUpreneur event calendar. Procure and manage corporate gifts, its distribution and inventory. Requirements: Bachelor’s degree from a recognised
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for Year 4 undergraduates with the objective of introducing students to the basic principles and procedure for the design and assessment of low-voltage and high tension distribution networks. The course also
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Fellow in Autonomous Systems and Control to design and implement efficient, performance‑guaranteed distributed control approaches, leveraging cutting‑edge learning algorithms and AI strategies
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platforms and experimental pipelines for algorithm validation. Visualize simulation and experimental results to support decision-making and research findings. Contribute to: High-impact publications in top
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theoretical computer science to develop algorithms and/or data structures, to further our understanding of what is possible in various computation models. The Research Associate/Research Fellow is also expected
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amplifiers Develop scripts and algorithms for analog IC design Prepare report and conduct presentation at seminars Assist the school in various teaching activities, including instructing or supervision of labs
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Information Engineering and Media to develop Machine Learning and AI algorithms for real-world and media-related applications. The Research Associate/Research Fellow is also expected to support teaching
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instructing or supervision of labs and tutorials. Prior teaching experience is preferred for candidates. It would be good if the candidate can also explore areas such as multimodal algorithms/techniques
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, development of algorithms, publications and/or patents. Strong algorithm development and programming skills in MATLAB/Pyton and C++ Working knowledge of state of the art machine learning techniques Familiarity
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impact of programmes. Ensure a customer-centric operations/processes with the end users’ satisfaction in mind. Develop and facilitate the production and distribution of wellbeing resources for the NTU