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applying artificial intelligence (AI) and machine learning (ML) methods for the autonomous, self-driving synthesis of nanoscale and quantum materials. This is an exciting opportunity to help shape a new
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catalyst design. This role involves conducting multiscale modeling, spectroscopy simulations, and the development of machine learning methods and automated workflows for multi-fidelity, multiscale, and
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models, reinforcement learning, and agent-based approaches to streamline experimentation and accelerate discovery Integration of HPC, data infrastructure, and ML pipelines for data-driven and autonomous
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