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processes for data standardization, data warehousing, quality assurance development and data analysis. A successful candidate will work closely in different aspects of the quality assurance and data
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/or energy *Strong methodological and quantitative skills, such as survey and sampling design and data analysis (in R or Python), meta-analysis and/or document/text analysis, or computational modeling
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differential equations, computational fluid dynamics, material science, dynamical systems, numerical analysis, stochastic analysis, graph theory and applications, mathematical biology, financial mathematics
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of reinforcement learning in the brain and leverage these models to assist the experimental groups with experimental design and multimodal data analysis of neurophysiological, causal, and behavioral data
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University to submit analysis files and receive and interpret output files. *Collaborate on writing of scientific papers for peer-review. *Present research at local, national, and international conferences and
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include: *Doctoral degree in economics or political science. *Academic experience in economic theory, game theory, and statistical analysis *Proficiency with relevant software, e.g. Python, R, and STATA
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determination of the flux and fluence of incident atoms, ions, and gases; and (iii) quantitative analysis of deuterium (D) retention and thermal stability of the retained D using TPD. Surfaces will be exposed
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, such as survey and sampling design and data analysis (in R or Python), meta-analysis and/or document/text analysis, or computational modeling *An interest in mixed-methods approaches, including also
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development and data analysis. A successful candidate will work closely in different aspects of the quality assurance and data engineering pipeline, developing usable and innovative solutions to build a
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economic theory, game theory, and statistical analysis *Proficiency with relevant software, e.g. Python, R, and STATA. *Excellent writing and analytical skills *Evidence of ability to take the initiative in