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simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis optimization. AI/ML methods development: Neural networks, graph neural networks (GNNs), generative
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simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis optimization. AI/ML methods development: Neural networks, graph neural networks (GNNs), generative
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discovering robust biomarkers, relating scalp signatures to intracranial networks, and moving neuromodulation beyond bespoke experimentation into protocol‑driven care. This Postdoctoral Research Assistant (PDRA
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