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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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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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structured prompts using FDA's AI tool to automate routine CGM data cleaning, merging, and processing tasks, assess the impact of these standardized prompts on the speed, reproducibility, and consistency
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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