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project focused on the development machine-learning powered digital twin system for the structural performance of civil engineering structures. The project is a collaboration between multiple research
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, coatings, and microneedles. Multiple physical, chemical, and mechanical characterization techniques such as SEM, FTIR, NMR, rheology, and nanoindentation will be used to evaluate the properties of our
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project focused on the development machine-learning powered digital twin system for the structural performance of civil engineering structures. The project is a collaboration between multiple research
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genetics, with a scope of influence that extends to the broader university community, potentially impacting multiple campuses, schools, and specialized programs through collaborative research projects and
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research findings into impactful software tools that improve on the robustness and security of AI and critical software systems. Ability to lead complex research and development projects with multiple
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/software co-design for AI applications ● Radiation testing of electronic systems, with an emphasis on single event effects Preferred Qualifications: ● Experience in designing and modeling fault
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well as testing effectiveness of implementation supports (e.g., professional learning communities and coaching). Responsibilities: Coordinating data collection and analysis activities. Developing and disseminating
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Number: JR89397 Position Summary The Cruchaga Lab at WashU Medicine is recruiting multiple Postdoctoral Research Associates. The NeuroGenomics and Informatics Center generates and analyzes Whole-Genome
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Position Summary The Cruchaga Lab at WashU Medicine is recruiting multiple Postdoctoral Research Associates. The NeuroGenomics and Informatics Center generates and analyzes Whole-Genome Sequencing
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analysis software (e.g., SPSS, R, NVivo) is highly desirable. · Publication Record: Evidence of scholarly productivity, including publications in peer-reviewed journals. · Communication Skills: Strong