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using Quantum optics/Atomic Physics/Integrated Photonics From Dec/04/2025 to Jan/16/2026, we are accepting applications for a post-doctoral fellowship, funded by the São Paulo Research Foundation (FAPESP
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machine learning (ML) algorithms to identify previously unknown correlations between synthesis parameters (inputs) and optical, electronic and chemical properties (outputs), such as quantum yield, light
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strong expertise in quantum computing, quantum algorithms, and physical simulations, including: - Quantum optimization (preferably Quantum Walk-based methods) - Quantum simulation (cold-atom/quantum-optics
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