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Research program. The project aims to integrate a diverse suite of high-resolution observations (atmospheric, land surface, and infrastructure), diagnostic/predictive models, and civic engagement to provide
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development and is the nexus of a broad collaboration network. Each year, CFN staff members support the research of nearly 600 external facility users. Three strategic nanoscience themes underlie the CFN
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development and is the nexus of a broad collaboration network. Each year, CFN staff members support the research of nearly 600 external facility users. Three strategic nanoscience themes underlie the CFN
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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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development and is the nexus of a broad collaboration network. Each year, CFN staff members support the research of nearly 600 external facility users. Three strategic nanoscience themes underlie the CFN
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at the Computational Science Initiative (CSI), within the Brookhaven National Laboratory. The selected candidate will collaborate on solving inverse problem, relevant for interference lithography process, by deploying
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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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using both integrated and discrete components Experience with using common RF and microwave test equipment (network analyzers, spectrum analyzers, etc.) Excellent oral and written communication skills
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, and readout electronics. POSITION DESCRIPTION Experimental and practical Quantum Information Science and Technology (QIST) is a key area of R&D for BNL. The successful candidate will join a fast-growing