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requirements and broader processes and to frame the result of research and financial analysis in a clear and concise fashion. Strong quantitative and modeling skills Familiarity and ability to use databases
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, execution, and data interpretation) Numerical modeling and simulation to complement physical experiments Preferred) Proficiency in CAD and modeling tools such as SolidWorks for experimental design and
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students’ academic and mental health outcomes. Job responsibilities include: Conducting descriptive and advanced statistical analyses (including multilevel modeling) on extant and merged datasets using SAS
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. Areas of specific interest include, but are not limited to, modeling high dimensional interacting systems in dynamic random environments, optimization, game theory and reinforcement learning, statistical
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and/or Agile methodologies. Required Skills, Knowledge and Abilities: Demonstrated strong knowledge of entity relationship diagram modeling and dimensional data modeling. Strong analytical, process flow
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at NYU Shanghai offers a global and interdisciplinary environment for advanced research. The program emphasizes rigorous, hands-on research—ranging from systems neuroscience to computational modeling
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undergraduate or graduate students on research projects Proficiency in advanced statistical modeling, including structural equation modeling, longitudinal analysis, network analysis, or machine-learning
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market benchmarking, modeling, survey submissions, and reporting, while ensuring data accuracy, compliance, and actionable insights for decision-making. The position operates under the direction
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uncertainty. ●Design and analyze novel algorithms or theoretical models related to modern data management challenges (e.g., query feasibility, data correlations, probabilistic evaluation, scalability
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. Develop and maintain models that track alumni behavior and support alumni and donor journeys. Monitor and inform accuracy and consistency across reporting systems. Monitor and project engagement trends