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Field
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linked to oral health outcomes and health disparities. Apply and develop bioinformatic pipelines, statistical models, and computational tools to assess associations between microbial composition, oral
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heterostructures). Correlating the magnetic domain behavior with microstructure/composition will enable the local energy landscape of the nanostructures to be determined. The successful candidate will primarily
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for Microelectronics” —a physics-informed AI framework that links composition, structure, and operating conditions to defect evolution and functional performance. The successful candidates will lead experimental
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. The postdoctoral researcher will have the opportunity to: Build a mechanistic model coupling wall chemistry, wall stiffness, and turgor pressure to receptor activation, using existing transcriptomic, compositional
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the emphasis of the position will be on the development of nanomaterials for AM and understanding of AM process optimization, functional materials design and compositional grading, electrochemical and
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to convey their requirements for I/O performance and data atomicity, consistency, durability, and retention. Intelligent and automated selection and composition of data and storage service capabilities and