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deep learning, Transformer architecture, reinforcement learning, or Agentic AI. Practical experience with programming languages (e.g., Python, TensorFlow/PyTorch) is required. Have a keen interest in AI
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materials, quantum error correction, and quantum simulations. • Quantum for AI: We explore the principles of quantum mechanics and statistical physics to design next-generation AI architectures, driving
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