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interest in metal–impurity interactions, interfacial phenomena and its commitment to computation-guided design for green and circular steel production. You will collaborate closely with researchers from
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
sciences, quantitative biological and chemical expertise, scientific method and experimental design/interpretation. Experience studying host: Pathogen interactions at the cellular or molecular level and
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. Analyze the interaction between architectural decisions and design-level tradeoffs in AI-intensive systems, addressing issues such as non-determinism, continuous data dependencies, testability, and
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system. Design and implement an NLP/LLM-based system capable of identifying socio-cognitive and socio-emotional triggers in student group interaction data (text, audio, and multimodal streams), drawing
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microbial communities initiate and propagate using early colonizers from dental plaque as a model. The successful candidate will participate in the design, implementation, and evaluation of research studies
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mechanisms regulating platelet and neutrophil activation and their homotypic and heterotypic interactions in thromboinflammatory diseases, including ischemic stroke, sepsis, and atherothrombosis (Li et al. JEM
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. The successful candidate will directly contribute to the development of millikelvin-range thermometry capabilities, in close interaction with national partners from both academia and industry. In particular
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CYP3A5-selective inhibitor and its structural basis (J Am Chem Soc 143:18467, 2021). Our goal is to understand nuclear receptor-regulated transcription networks, enzyme-drug interactions, and design
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. For additional information regarding postdoctoral appointments at ASU, please visit https://academicpersonnel.asu.edu/postdoc . This position offers an exceptional opportunity for an early-career scholar
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. The project explores novel communication, sensing, and data-driven techniques to support safer and more adaptive interactions among heterogeneous road users. The research will be carried out under