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Field
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of artificial intelligence with quantum science, focusing on three synergistic directions: • AI for Quantum: We develop advanced, physically grounded AI algorithms to solve fundamental problems in quantum
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SPECIFICS The Department of Mathematics in Penn State's Eberly College of Science invites applications for Postdoctoral Scholars through the Center for Computational Mathematics and Applications (CCMA
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with quantum gates, algorithms, and measurement-based photonic quantum computing. • Familiarity with quantum optics simulation frameworks (QuTiP, Strawberry Fields, etc.). • Track record of mentoring
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mission is to create the theoretical, computational and algorithmic paradigms that will enable us to understand the programs of life and how they connect across scales, from proteins to cells to tissues and
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foundations for the next generation computing systems. Our research is currently focused on two-terminal non-volatile memory devices called memristors. These devices have shown an electrical behavior similar
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of using existing and emerging grid assets to ensure grid reliability and affordability of energy supplies. The group focuses on advanced grid modeling using advanced computing resources (e.g., quantum
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, security, and next-generation communication systems. The division also plays a key role in engineering education, particularly within the Master's programme in Information and Communication Technology. You
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Research and develop autonomous decision-making algorithms for process industries (e.g., chemical, pharmaceutical, materials, energy) or discrete manufacturing (e.g., electronics assembly, automotive, home
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tools, especially with application in drug discovery. Experience with high performance computing environment (HPC) / cluster job submission. Knowledge of statistical methods, data science algorithms
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research program in Artificial Intelligence (AI) and Mathematics. This position involves applying machine learning tools, particularly reinforcement learning (RL), to address complex research-level