18 programming-language-"Prof"-"University-of-Strathclyde"-"Prof" Postdoctoral positions in China
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Language Models Time-Series Data Prediction and Modeling Intelligent Decision-Making and Optimization Algorithms Strong programming skills (proficient in Python, PyTorch/TensorFlow, etc.). Strong
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of Large Language Models Time-Series Data Prediction and Modeling Intelligent Decision-Making and Optimization Algorithms Strong programming skills (proficient in Python, PyTorch/TensorFlow, etc.). Strong
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, energy) or discrete manufacturing (e.g., electronics assembly, automotive, home appliances). Explore the integration of large language models and reinforcement learning for real-time optimization, fault
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(QMC), density-matrix renormalization group (DMRG), etc. The applicant should be able to write and implement numerical codes; good command of at least one programming language and basic Linux experience
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capabilities, catastrophic forgetting, scaling laws, and other emergent physical phenomena. Building on this foundation, we aim to explore more effective training algorithms for Large Language Models (LLMs). (2
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of Intelligent Computing and MoE Key Lab. Additional funding available for recipients of prestigious fellowships: Postdoctoral Innovative Talents Support Program Postdoctoral International Exchange Program
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mathjobs.org. Applicants are strongly encouraged to write to their potential mentors at Chern Institute of Mathematics if they have more questions about the positions. The English website of Chern Institute
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biology. 3. Fluent in English. Application Materials Required: Further Info: https://www.cimrbj.ac.cn/en/channel/1864142817505447936.html 10 Xitoutiao, Youanmen Wai, Fengtai District, Beijing 100069, China
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. Please explore our websites http://math.njnu.edu.cn/ (in Chinese) and http://schools.njnu.edu.cn/math/ (in English) for more information. Application Materials Required: Submit the following items
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for defending a doctoral dissertation at the time of application. 4. Having identified a research team or group and collaborated with the team leader or advisor to develop a preliminary research plan. 5. Meeting