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in econometrics/statistics Selection process Please see https://resurseumane.ase.ro/non-gaussian-self-similar-processes-enhanci… Website for additional job details https://resurseumane.ase.ro/non
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Reviews and Social Media Comments in the Age of Artificial Intelligence”, having Maria Petrescu as principal investigator. The ideal candidate profile consists of advanced knowledge in statistical and
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in statistics and stochastic modeling with applicability in microeconomics, macroeconomie and sustainability are particularly welcome, Experience in previous similar projects will be considered a major
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statistical and econometric modeling, scientific-oriented thinking, communication and team skills, with a PhD in the field of economics, (business) mathematics, (business) informatics, marketing, management. As
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Reviews and Social Media Comments in the Age of Artificial Intelligence”, having Maria Petrescu as principal investigator. The ideal candidate profile consists of advanced knowledge in statistical and
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must demonstrate that they have contributions and publications in the field of statistics and stochastic modeling in finance, risk management, sustainability, demonstrating expertise and independent
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skills (including 3D modeling) and remote sensing • Advanced field data collection skills • Intermediate statistical data processing skills • Previous volunteer experience in research activities Specific
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spoken. An advantage: knowledge of classical mechanics, quantum mechanics, statistics, Python programming proven by writing data analysis scripts. LanguagesENGLISHLevelExcellent Research FieldPhysics
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master's and bachelor's degrees. Fluent English, written and spoken. An advantage: knowledge of classical mechanics, quantum mechanics, statistics, Python programming proven by writing data analysis scripts
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should have a university degree at master level in the field of economics, (business) mathematics, (business) informatics, statistics or similar with above-average success. Basic statistics, IT and