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Adjunct Lecturer, MQF QF635 Market Microstructure & Algorithmic Trading, 2025-26 Apr Term - (2600001N) Description A premier university in Asia, the Singapore Management University (SMU) is
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responsible for the end-to-end investigation of novel federated learning strategies for causal inference. The role will bridge rigorous theoretical work with hands-on algorithm design and development on real
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segmentation algorithms to segment industrial wrapped objects with limited data Develop algorithms to identify the most reliable segmented objects. Develop algorithms to determine the best grasp pose based
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systems that are both scalable and explainable. This role bridges algorithmic research and systems implementation, offering opportunities to collaborate with leading academics and engineers on developing
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accelerated AI, machine learning, and robotics algorithms with a strong focus on computational efficiency, memory reduction, and energy-aware deployment. The role targets foundation models, including large
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sustainable societies. Key Responsibilities: Design, implement, and tune algorithms for digital control, A/D sampling, pulse synchronization tailored for power converters applications (DC-DC, AC-DC, DC-AC
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on the project of NEMO Sub-Project C: Passive UE activity inference (4/5G) from OTA network traffic. The role will focus on developing algorithms and methods for processing and analyzing 5G signals. We
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analysis tools for package and chip access, imaging and security assessment. The CA team researches the design and development of advanced algorithms and tools for automatic and efficient analysis of VLSI
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algorithms for spatial and single-cell omics, integrates publicly available datasets into a centralised data hub, and leverages this platform to build AI models for biomarker discovery and drug target
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industry and international partners. For more details, please view https://www.ntu.edu.sg/atmri . We are looking for a Research Engineer to conduct research on air traffic management (ATM) algorithms and