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seek candidates with strong teaching skills and programming experience in R, Python, and/or STATA, who are eager to inspire students and make an impact. Your job The Utrecht University School
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, supervise BSc and MSc theses, and contribute to high-quality education. We seek candidates with strong teaching skills and programming experience in R, Python, and/or STATA, who are eager to inspire students
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international open science initiatives; Basic knowledge of R or Python, or willing to learn this quickly. Even if you don't bring all the listed experiences, we encourage you to apply. We are happy to invest in
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large scale datasets; Programming skills in Python and/or R; familiar with reproducible coding and automated (geospatial) data analysis; Familiarity or interest to dive into environmental or soil science
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hydrodynamic coastal flow fields using SWAN, SWASH, SCHISM or a comparable model; writing python code to advect virtual macroplastic items in these flow fields using the Parcels-code.org framework; exploring
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methodological statistics You should have advanced programming skills in R or in other statistical software such as Python, or MATLAB. You should have a solid knowledge of statistical inference, statistical
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; experience with statistical programming (e.g. R, Python, or comparable tools for data analysis); experience with, or a clear interest in, environmental and health research, including spatial data analysis and
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, Introduction to Python, making figures using GGplot2 and basic machine learning. These courses are offered to PhD candidates through the PhD Course Centre of the Graduate School of Life Sciences . In
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, provided they have advanced training in methodological statistics You should have advanced programming skills in R or in other statistical software such as Python, or MATLAB. You should have a solid
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and written. Further expertise that would be valuable: Python software development; Natural Language Processing. Above all, you are a quick learner, proactive and eager to make things work. Our offer