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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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experiences in healthcare wearables signal, data processing are preferred. Interdisciplinary Collaboration: Engage with researchers in biomechanics, engineering, and healthcare to translate research
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computing. With extensive experience in medical image analysis, computer vision, and AI systems through collaborations with leading institutions. Key Responsibilities: Conduct advanced research in the areas
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, including design approaches, scanning methods, signal processing techniques, and comparison with alternative detection technologies. ii. Support design and development of NQR prototype, including system
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-modal image analysis and processing. Data annotation and structuring. Research and develop algorithms and AI models for various computer vision tasks. Algorithm/model evaluation and testing. Maintain
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dedicated to technology such as state-of-the-art light microscopy, nano- and micro- fabrication, and computing. We are seeking a Research Fellow with expertise in transmission electron microscopy (TEM
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cilia and nuclear signaling in the brain. Position Summary: We seek a candidate with strong expertise in microscopy and computational image analysis to: Support and enhance ongoing imaging projects in
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26 Aug 2025 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Computer science Engineering Researcher Profile Recognised Researcher (R2) First Stage
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) Build mock data generators and unit tests for isolated component validation Requirements: Minimally Bachelor in Computer Science or related fields with minimum 7 years of experience. Strong Python