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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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, 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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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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(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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collisions at the LHC (ATLAS) and prospective future colliders (CEPC/SppC); and related theoretical efforts. The division has an active visitor program and co-organizes several conferences and workshops
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, education allowance, relocation support etc. Adequate research funds, and university’s supports to apply for national, provincial and municipal talent programs. Requirements: Ph.D. in Mathematics
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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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theoretical physics specializing in theoretical condensed matter physics, quantum optics or mathematical physics. Excellent analytical capability is absolutely necessary and programming skills are wished for. A
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frontier research programs in the fields of Condensed Matter Physics, Particle & Nuclear Physics, and Astronomy & Astrophysics. English is the working language at the institute. Further information about the
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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