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Field
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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Intelligence, Machine Learning, or relevant fields. Strong theoretical research capability, particularly in the theoretical analysis of optimization, convergence, stability, and/or generalization of deep
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for submission to premier venues (CVPR, ICCV, ECCV, NeurIPS, ICLR). Convert research prototypes into scalable, deployable software systems or proof-of-concept demos. Design, code, and optimize robust deep learning
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The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) conducts interdisciplinary education and research across chemistry, chemical engineering and biotechnology, with research
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The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) conducts interdisciplinary education and research across chemistry, chemical engineering and biotechnology, with research
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We are seeking to hire a research fellow to lead advancements in humanoid robots and embodied AI. This role will contribute to NTU’s mission of driving transformative research in artificial
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Department of Applied Mathematics Postdoctoral Fellow (three posts) (Ref. 260914015) [Appointment period: each for three months] Duties The appointees will assist the project leader in the research
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research on shipping and port operational optimization, maritime decarbonization, data analytics, and the development and application of novel methodologies (including LLM-based prediction and optimization
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To conduct high-impact research in AI-driven computational biology, with emphasis on template-guided TCR design, pMHC-TCR complex modeling, and single-cell foundation models for cancer and
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lithographic techniques to etch novel lattice patterns Perform optical characterizations of structures using various optical spectroscopy Collaborate with theoretical researchers in the design and optimization