420 phd-studenship-in-computer-vision-and-machine-learning Fellowship positions in Singapore
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computational simulations in the area of density functional theory (DFT). The role will focus on understanding and predicting the properties of novel functional materials, including surfaces and interfaces
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Requirements: MSc (Research Associate) or PhD (Research Fellow) in Mathematics or Computer Science or closely related fields. Ability to design and implement advanced algorithms and data structures. Independent
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: Research activities related to Quantum Machine Learning, Agents and Information Theory Job Requirements: For the Research Fellow position, the candidate must hold a Ph.D. degree in quantum information
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, invited talks, and outreach activities, strengthening NTU’s leadership in infrastructure security R&D. Job Requirements: PhD in Computer Science, Software Engineering, or related field. Strong publication
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) who is highly skilled in and deeply passionate about computational electromagnetism and mathematical physics/engineering. The SRF should have strong background in computational methods for solving
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security-related projects. Disseminate research findings through conferences, invited talks, and outreach activities, strengthening NTU’s leadership in infrastructure security R&D. Job Requirements: PhD in
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optimization of multi-modal LLMs. Investigate and implement methodologies to ensure AI authenticity, accountability, and the integrity of digital content. Develop and refine machine learning and deep learning
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papers for publication Assist the supervision of final year undergraduate student’s projects Job Requirements: PhD degree in related fields Strong knowledge of advanced in computation and analysis Strong
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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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Job Description Job Alerts Link Apply now Job Title: Research Fellow (School of Computing) Posting Start Date: 21/04/2025 Job Description: Job Description We are the NUS AIoT Group, led by NUS