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integrating literature, in-house, and newly generated experimental data Build surrogate and predictive models that connect composition, molecular structure, synthesis and processing conditions, morphology, and
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demonstrates a professional attitude. Skilled written and verbal communicator, including the ability to present complex information so that it is understandable to a broad audience. Strong computer skills
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electrolyte systems Strong skills in the synthesis and structural optimization of host materials for lithium–sulfur batteries Experience in the synthesis, processing, and characterization of solid-state
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candidate will develop a novel multiscale multimodal experimental apparatus with precise control during data acquisition, as well as work on data processing pipeline, adaptable to imaging of energy-conversion
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together computer scientists, AI researchers, domain scientists, software engineers, and high-performance computing experts. You will help design and implement new methods for multimodal federated learning
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, we encourage applicants to consider how their data processing and software development capability fits into the proposed work and future direction. The Postdocs will be working directly with assigned
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, we encourage applicants to consider how their data processing and software development capability fits into the proposed work and future direction. The Postdocs will be working directly with assigned
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ferroelectric and other functional materials into photonic architectures for electro-optic and quantum transduction applications Perform full device processing using cleanroom techniques, including electron-beam
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the past 0–5 years) in Atmospheric Science or a related field Demonstrated expertise in one or more of the following areas: convective storms, precipitation processes, severe winds, land–atmosphere
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following areas: Transition-edge sensors (TESs) or kinetic inductance detectors (KIDs) Cleanroom microfabrication processes, including: Thin-film deposition (e.g., magnetron sputtering) Electron-beam