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are especially encouraged: (1) statistical mechanics, condensed-matter theory, quantum field theory; (2) tensor networks, quantum information, quantum algorithms; (3) machine learning, generative models, large
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in higher adelic analysis and geometry, applications of algebraic K-theory in arithmetic geometry, in anabelian geometry and IUT, in Diophantine geometry, in applications of modern mathematics to deep
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, or a related field. Solid research background and practical experience in one or more of the following areas: Reinforcement Learning / Deep Reinforcement Learning Fine-tuning and Application of Large
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Intelligence Research Group at the Beijing Academy of Quantum Information Sciences (BAQIS), invites applications for Research Professor and Postdoctoral positions. Our group pioneers the deep integration
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with a deep sea neutrino telescope in Western Pacific Ocean. There will be many exciting opportunities in our group for impactful research at the frontiers of particle physics and astrophysics
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, Automation, Artificial Intelligence, Operations Research, or a related field. Solid research background and practical experience in one or more of the following areas: Reinforcement Learning / Deep
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or more of the following areas: Reinforcement Learning / Deep Reinforcement Learning Fine-tuning and Application of Large Language Models Time-Series Data Prediction and Modeling Intelligent Decision-Making
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Skills: • Prior experience in quantum information, quantum computing, machine learning. • Proficiency in computer programming matlab, python, mathematica. How to Apply and required documents: • Personal CV
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have no obligation to teach, but will be required to apply for an external funding from National Natural Science Foundation of China and some other sources. The main obligation of a successful candidate
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physics, nuclear astrophysics, quantum sensing, machine learning, gravitational waves, and particle theory and experiment. Faculty members include Professors Weiping Liu, Jie Chen, Sebastian Garcia-Saenz