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. Proficiency in programming languages like Python and MATLAB is essential. Practical experience in data science, predictive analytics, finite-element modelling, structural analysis, and/or offshore structures is
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) analysis with particular emphasis on the use of LSDYNA for simulation of crash analysis and roadside safety. This work increasingly emphasizes reliability-based performance assessment, load effects
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. Responsibilities include conceptualizing and implementing statistical and structural models, developing scalable algorithms for system optimization and control, conducting policy-relevant economic analysis
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validates integrations and data flows in coordination with engineering and infrastructure teams. Business Analysis & Solution Design: Leads translation of business requirements into detailed functional
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. Works with Grants Services & Analysis Office team members to verify and test data and ensure that the data elements sent to the Michigan Medicine Data Warehouse are reliable. Executes standard queries
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POST-DOCTORAL RESEARCH FELLOW - CEVIPOL (Centre de la vie politique) – Université Libre de Bruxelles
cross-sectional data, measurement and index construction, conceptualization and operationalization of political concepts, validity and reliability issues Familiarity with major political science datasets
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 1 month ago
infrastructures that ensure reliable water supply. However, aging pipelines are increasingly exposed to stresses such as pressure surges, ground movement, construction activities, vegetation growth and changing
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Location Lexington, KY Grade Level 14 Salary Range $93,527-156,062/year Type of Position Staff Position Time Status Full-Time Required Education BA Click here for more information about equivalencies: https
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limited. This gap constrains the capacity to assess dynamic exposure conditions along mobility corridors and limits the reliability of design evaluations. Pedestrian heat stress during the warm season is
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structure and make effective use of data. You will do this by acting as subject matter expert, and in doing so you will construct standards, models, and data dictionaries in support of the university’s common