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Field
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The NTI-NTU Corporate Laboratory is looking for a Research Fellow to conduct research in industrial AI for adaptive manufacturing process optimization and decision support. The role will develop and
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Details Title Postdoctoral Fellow in Riemannian Optimization School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Position Description A postdoctoral position is
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period: each for one month] Duties The appointees will assist the project leader in the research project - “Robust intelligent stochastic optimization assistance system for aging mobility”. Qualifications
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learning, large-scale model optimization, and generalization. To explore scalable optimization methods for large-scale, distributed, and multi-node collaborative training. To conduct theoretical analysis
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algorithms for for cache management and job scheduling in modern computing systems (such as LLMs). Analyze theoretical aspects of distributed systems, including optimization, scalability, and efficiency
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outputs, evidenced by publications in reputable international journals and conferences; and (c) research experience in multi-agent collaboration, trajectory planning and optimization-based control
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electrode systems for selective electrochemical transformations of organic molecules and related energy-conversion reactions. Conduct electrochemical measurements and reaction optimization to evaluate
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Job Description • Conduct research on advanced materials processing and manufacturing for functional components and structures. • Develop and optimize process routes involving
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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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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