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optimization and scheduling, workflow understanding, and software installation Collaboration and mentorship Collaborate with internal and external researchers to drive innovation in nanoscience and
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optimization, active learning, adaptive measurement) Generative, reinforcement learning, and agentic approaches to streamline experimentation and accelerate discovery Integration of HPC, data infrastructure, and
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of data management practices and AI/ML approaches for experimental planning, workflow optimization, and data analysis is beneficial Advanced ability to interpret and integrate complex experimental results
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, computational scientists, and engineers to identify use cases and validate AI-driven discoveries. Optimize system performance for deployment on high-performance computing infrastructure and cloud platforms