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in Python, R, or a similar language; motivation and willingness to organise and carry out fieldwork in high elevation, mountainous terrain; motivation to cooperate in a diverse and multidisciplinary
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science communication theory or practice; a proven affinity with climate (change) science; experience in quantitative analysis of social media or other large data sets, for example with Python or R
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supervision of Prof. P. Raffa (Smart and Sustainable Polymeric Products), and Dr. D. Parisi (Rheology of Complex Polymeric and Colloidal Systems), and in collaboration with the company SABIC (Prof. R. Duchateau
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. Demonstrated quantitative research skills including experience with data management and multivariate analysis working with programs such as Stata, R, or Python. Experience with qualitative research methods
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of Complex Polymeric and Colloidal Systems), and in collaboration with the company SABIC (Prof. R. Duchateau), and the Gdansk University of Technology (Prof. L. Jasinska-Walc). 1. https://doi.org/(...).jclepro