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Science and the College of Engineering, is one of the newest departments at MSU. Founded in 2015, CMSE recognizes computation as the “triple junction” of algorithm development and analysis; high performance
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collection, pipeline automation, data visualization, and advanced statistical analysis. Candidates must have experience managing large-scale survey datasets, multilevel bayesian modeling, game development, and
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and analysis; high performance computing; and applications to scientific and engineering modeling and data science. The CMSE department hosts leading faculty groups whose research spans a broad
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to internal questions and serves as resource for unit executive leaders and hiring managers Supports compensation decisions with accurate information and analysis and processes raises and changes in
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methods of chemical and physical analysis as needed by external customers to support project goals Interact with external customers using either online or in person meetings as desired by external customers
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. These methodological techniques might include, but are not limited to, quantitative longitudinal models, social network analysis, natural language processing models, or large-scale multi-lab experimental studies
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genetics, cost-effectiveness research, clinical trials, and high-dimensional data analysis) are encouraged to apply. We welcome applications from scientists with a strong background in Epidemiology
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on creating a digital component for the PROPA (Puerto Rican Organization for the Performing Arts) Lugares Históricos project. The Summer Field School will be open to academic and non-academic participants
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analysis, reporting and task assignments related to prospect development and donor management, editing and composing presentation materials, recording and distributing all meeting materials, establishing and
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accessibility and collaboration are essential elements of our work and are vital to organizational and programmatic success. We embrace a culture of understanding, coaching, and feedback toward achieving a vision