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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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researcher in natural language processing and large language models to work with a team from multiple disciplines of machine learning and artificial intelligence to develop multimodal large language models
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with ultrastructural analysis. Manage, process, and analyze large imaging datasets generated from the project. Assist in mentoring and training PhD and undergraduate students in relevant techniques and
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models using frameworks such as PyTorch and TensorFlow. Research experience in medical image analysis using deep learning algorithms. Strong track record in machine learning, computer vision, and medical
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S-Lab for Advanced Intelligence, established in 2020, is a university laboratory at NTU focusing on research and development of cutting-edge AI technologies in computer vision, natural
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programming languages such as C and Python Proficiency in deep learning frameworks such as Pytorch and Tensorflow Knowledge in imaging and computing device and equipment Good written and oral
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in a meritocratic culture. Key Responsibilities: Design and build optical interferometric imaging setup for imaging live cells Conduct in-vitro imaging experiments Analyze and summarize
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of the designed algorithms and systems. Help with research presentation works such as high-quality paper writing. Job Requirements: Preferably Bachelor’s degree in Computer Engineering, Computer
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to support the research for the project titled: Automated IC Recognition and Verification from PCB Images. The objective is to design and develop computer vision techniques to analyse multi-modal PCB
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. Formulate scalable system architectures that support real-time data processing, distributed decision-making, and seamless integration with operational platforms. Design and implement robust interfaces