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strongly advantageous. Working knowledge of sensor fusion, time-series analysis, or edge-computing in environmental monitoring applications. Working knowledge of sensor calibration and data quality control
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robotics systems. • Strong mathematical background with solid knowledge in numerical optimization theory. Familiarity with semidefinite programming and its convex relaxation techniques is highly preferred
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project: “Climate Transformation Program (CTP): Cross Cutting Theme 1 – Sustainable Societies” funded by the MOE Tier 3C Grant. CTP aims to develop, inspire, and accelerate knowledge-based solutions and
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with teaching, and research event arrangements Job Requirements: Applicants must possess PhD’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. In-depth knowledge
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Chemistry or Physics or closely related fields. • The candidate is expected to have sound knowledge on electrochemistry related Li-ion battery and/or Na-ion battery. • Candidate must
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operation of the system and applications. • Strong knowledge of power electronics, drives, and control is highly preferred. Experience with hardware testing and real-time simulation will be advantageous
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cancer genomics and functional interpretation of genetic variants Proficiency in Python, R, or other bioinformatics languages Knowledge of cloud computing, and high-performance computing (HPC) environments
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, such as TPAMI, IJCV, CVPR, ICCV, ECCV, NeurIPS, ICML and ICLR. Knowledge of scientific or engineering software like PyTorch, TensorFlow, Keras, etc. Proven research ability as evidenced through a portfolio
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portfolio of publications and/or conference papers and/or patents. In-depth knowledge relevant to the project domain. Demonstrated capability to conduct innovative research. The ability and willingness
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chromatin structural aberrations in cancers. Demonstrated in-depth knowledge, skills and expertise, with capability of leadership and achieving research excellence. Proven track record in the form of high