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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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workflows. (Preferred) Basic skills in microscopy image analysis and quantitative data processing. To Apply Applicants should submit: A CV including publications A cover letter describing relevant experience
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Imaging (DDI) is the clinical service department in the National University Hospital (NUH), which has a broad range of research areas including diagnostic imaging (abdominal imaging, cardiac & thoracic
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on radionuclide imaging and therapy of cancer (radiotheranostics), multi-modal molecular imaging and nanotheranostics (various forms of nanoformulas). More information on the research work is available at https
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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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, 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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competitive salary (> S$70k/year) for the position with the consideration of years of experience postgraduate. The duties of the Postdoc include: Collect and process remote sensing data relevant
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Requirements: PhD in geophysics, geology, geomatics, geodesy, geomatics, electrical engineering, computer science, natural hazards, or a related field Demonstrated skills in remote sensing, image processing
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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