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Field
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. The Risk and Infrastructure Systems Lab, led by Asst. Prof. Alex Sixie Cao, develops quantitative methods for understanding and managing the reliability, robustness, and safety of structures and
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development from prototype to commercial scale while ensuring performance and reliability. Develop, assemble, and validate stack designs through structured testing, durability studies, and failure analysis
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, multi-site provincial initiative that will advance our understanding of how genetic factors influence cardiac structure and function, and yield AI models that link phenotypic findings with genetic data
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 23 hours ago
participate in the creation, testing, and refining structured prompts using FDA's AI tool to automate routine CGM data cleaning, merging, and processing tasks, assess the impact of these standardized prompts
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through invasive catheter procedures. While these measurements provide valuable clinical information, they are costly, time-consuming and carry risks for patients. Developing reliable non-invasive
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. Therefore, this project will investigate the interplay between tectonic processes and sedimentation during the Triassic, and the influence of Palaeozoic basin structures on deposition. In addition, it will
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talks, tours, media engagement, or community science activities. Experience with schedules, risk, scope, budgets, work breakdown structures, team coordination, or similar project-management practices
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research team Strong analytical and problem-solving skills Ability to give and receive constructive scientific feedback Structured, reliable, and results-oriented working style Good communication and
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solutions for offshore wind turbines, enabling to enhance their structural awareness, real-time reliability assessment, and predictive maintenance decision support through integrated sensing, modelling, and
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procedures to ensure consistent and reliable data collection across multiple samples. Implement diagnostic methods, such as fiber index profiling and microscopic visual inspection, to analyze post-processing