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scientific facilities: The CFN conducts research on nanomaterial synthesis by assembly designing precise architectures with targeted functionality by organizing nanoscale components. The CFN researches and
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computer science knowledge. Preferred Knowledge, Skills, and Abilities: Practical experience developing novel AI/ML algorithms and models. Knowledge about hardware architectures, compilers, neural network
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for highly motivated postdoctoral researchers to conduct advanced electron microscopy studies on quantum materials for neuromorphic computing. The primary objective of this research is to explore quantum
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candidate will work collaboratively with a team of scientists from the Artificial Photosynthesis (AP) and Catalysis: Reactivity and Structure (CRS) groups and will be supervised by CHASE principal