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with software such as NVivo, RStudio, Biblioshiny, UCINET, SmartPLS, and IBM SPSS. The position is open to Brazilians and foreigners. The selected candidate will receive a FAPESP Post-Doctoral Fellowship
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, noise processes, and measurement error. You will work closely with mathematicians, software engineers, physicists, materials scientists, and beamline scientists to implement these new tools on HPC
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schools, doctoral supervision, and software outputs central to the Centre’s mission. About You You will have, or be close to completion of, a PhD/DPhil in Statistics, Machine Learning, Data Science, or a
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software tools The development and validation of machine learning and artificial intelligence models focused on representing the structural response Physical experimental testing for structural and
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Python programming skills are required, and prior experience with developing open-source software or databases will be considered a plus. Candidates should apply at: https://puwebp.princeton.edu/AcadHire
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based in the research group “Historical Building Research” (Head G. Styhler-Aydın) of the Department of Historical Archaeology (see https://www.oeaw.ac.at/en/oeai/research/historical-archaeology
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: The development of computational models to represent structural performance using commercial and research software tools The development and validation of machine learning and artificial intelligence models focused
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proficiency in at least one statistical software (e.g., R, Stata, SAS, Mplus) and desire and ability to learn additional software as needed (note: Dr. Kuiper regularly uses R, Stata, and Mplus simultaneously
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skills and knowledge in the use of data analysis software, specifically the STATA software; Proficiency in the English language (spoken and written); PhD in one of the disciplinary areas relevant
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Polarization Lab for scientific research on human-AI interaction on social media. The ideal candidate will possess advanced knowledge of R and/or Python software, have experience performing statistical analyses