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The Economics Programme in NTU’s School of Social Sciences seeks a Research Fellow. The research develops reliable instrumental variable (IV) estimation/inference method and machine learning
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report project progress. Job Requirements: PhD degree in Computer Science, Computer Engineering, Electronics Engineering, AI, Machine Learning or equivalent. Strong research record in computer vision
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, and mathematical data science, with an active programme at the interface of dynamical systems, machine learning, and quantum information. The position sits in the GOAL group (GeOmetry, dynAmics, and
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of optimization and generalization to inform the design of practical training algorithms. To produce high-quality publications in top-tier machine learning conferences and journals. To offer guidance and assistance
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applications for the position of Research Fellow . The Research Fellow (RF) will play a key role in advancing the research mission of NTU by supporting cutting-edge projects in computer vision, machine learning
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project “Interpretable and Automated Cryptanalysis for Tailor-Made Cryptographic Design”, the school is looking to recruit one research fellow on cryptography and/or machine learning. Key Responsibilities
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project “Interpretable and Automated Cryptanalysis for Tailor-Made Cryptographic Design”, the school is looking to recruit one research fellow on cryptography and/or machine learning. Key Responsibilities
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a Research Fellow to contribute to a project focused on focused on data-driven discovery of atomic catalysts. Key Responsibilities: Theoretical predictions using DFT and machine learning, and
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-of-the-art machine learning/deep learning models for RNA sequence design, structure prediction, and property optimization. Process, curate, and model high-throughput screening and genomics datasets
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Computer Science, Robotics, Artificial Intelligence, Machine Learning, or a closely related discipline. Demonstrated research experience in AI, robotics, machine learning, computer vision, or related fields. Strong