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degree verification on all candidates upon acceptance of a contingent offer. Applications will be reviewed by the Search Committee and will be accepted until the position is filled. Interviews will be
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machine learning models with respect to accuracy and uncertainty quantification. - Developing software to implement the goals stated above (most likely in Python). - Disseminating results
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software to implement the goals stated above (most likely in Python). § Disseminating results through posters/seminars and international meetings and meeting seminars. § Ensuring that all results
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in experiments or fieldwork. Organize and manage research data, including data entry, coding, and maintaining data integrity. Use relevant software tools and methods as required. Assist in conducting
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external stakeholders such as at photonics conferences or through peer-reviewed journal publications § Ensuring that results, protocols, software, and documentation have been archived or otherwise
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of structural steel components and nonlinear analysis of steel systems, with emphasis on seismic effects - Experience with OpenSees and/or other high-fidelity finite element software; proficiency in
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programming languages relevant to computational modeling (e.g., Python, R, or similar). Data Analysis Tools: Experience with statistical software and data visualization tools (e.g., SPSS, Stata, Tableau). AI
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or fieldwork. Organize and manage research data, including data entry, coding, and maintaining data integrity. Use relevant software tools and methods as required. Assist in conducting literature searches and