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workflows for processor and accelerator design, verification, and physical implementation using open-source tools. Explore architecture-algorithm co-design for machine learning and AI acceleration. Perform
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lead to a PhD position at SPMS in NTU Singapore (based on performance). Key Responsibilities: Contribute to the development of algorithms Develop codebase in Python and perform large-scale simulations
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Research Associate (Artificial Intelligence/Computer Science/Optimization/Computational Linguistics)
implement simulation platforms and experimental pipelines for algorithm validation. Visualize simulation and experimental results to support decision-making and research findings. Contribute to: High-impact
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models, focusing on industrial image analysis Develop advanced deep learning methods for power battery inspection models Design and implement novel algorithms for AI-based CT imaging Lead experimentation
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behavior, and Language (SMOL) project at the Department of Communications and New Media, National University of Singapore is dedicated to the interdisciplinary study of humans and algorithms on the Internet
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with industrial communication protocols (e.g., CAN, Modbus); and experience with embedded C/C++ programming for implementing control algorithms on DSPs and FPGAs. Ability to lead a team and work
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focused on using advanced numerical methods to explore low energy dynamics in strongly interacting quantum spin systems. The candidate will develop and implement advanced algorithms to investigate
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like Genetic Algorithms (GA) and PID control, using MATLAB/Simulink. Experience with electrical and battery testing, soldering, and PCB design (e.g., Autodesk Eagle). Ability to work collaboratively in
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relevant research or working experience in LLM/VLM and AI decision-making algorithms for autonomous vehicles will be preferred. We regret to inform that only shortlisted candidates will be notified. Hiring
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in the 2025 QS World University Rankings by Subjects. We are hiring a Research Fellow in Signal Processing and Machine Learning to develop signal processing and machine learning algorithms and methods