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. Optimal sintering parameters are essential but complex to define, especially under industrial conditions using continuous furnaces with variable atmospheres. Even minor deviations in oxygen potential can
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analysis approaches often rely on legacy codes that are complex, inflexible, and poorly suited for innovative designs. This project aims to overcome these limitations by systematically comparing Reactor
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charts and status reports ensuring that mitigations and actions are actioned effectively. Support the collation, analysis, and reporting of project data and performance metrics, contributing to both
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/department based committees, programs and special projects. Advises on and assists in data collection, measurement and analysis and facilitates group processes and decision making. Serves as project manager
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Facilities’ energy management platform based on statistical and data analysis. A platform which directly affects the quality and efficiency of utility services, the sustainability of the Seattle Campus and UW
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(or are close to completing a PhD) in pure or applied mathematics, with an excellent profile in functional/complex analysis and fields related to the project (such as, but not limited to, numerical linear algebra
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, analysis, and control; and collaborating with colleagues across Northeastern University Research Enterprise Services (NU-RES), the Office of the Provost, and external partner organizations. Minimum
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of experience in data migration, analysis, or a related role. Experience with relational databases like Oracle, MySQL, MS SQL, as well as No-SQL databases. Proficiency in developing complex stored procedures
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independently complex research studies, experiments and assays. Job Description Empty heading Primary Duties & Responsibilities: For more information on the Njoku lab, please visit https://njokulab.wustl.edu .Â
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-bathymetric surveys from diverse national and global data sources; Analysis of local, regional and global wave data; Determination of theoretical depth of closure and its temporal and spatial variability