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., crowd sourced data or from mobile and distributed instrument networks) Assess the performance of next-generation predictive urban climate models using observations Develop new visualization strategies
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—an essential characteristic for replicating neural network behavior. The position offers a unique opportunity to engage in cutting-edge research at the intersection of quantum materials and advanced electron
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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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and metabolic flux analysis. Knowledge and experience in Constraint-Based Modeling of metabolic networks. Experience in plant cultivation in growth chambers of green house space. Experience in the use
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rigorous wavefront simulations and AI/ML networks that account for the light-matter interactions in various wavelength regimes, and real light source parameters such as coherence, polarization
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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