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/Python). Interest in cancer biology, environmental health, or respiratory disease mechanisms. We offer you in accordance with the Collective Labour Agreement for Dutch Universities: A salary of € 2,901
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critical data studies and willingness to reflect on data use and circulation. Demonstrable skills in scientific writing and data analysis. Knowledge of GIS and R and/or Python as a tool for data analysis
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-economical surveys and work is an advantage. Knowledge of R and/or Python as a tool for data analysis, statistics, and visualization is an advantage. Experience with work within local communities in West
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Psychology, Marketing, Business, Economics, Econometrics, Communication, Data Science, or a closely related field. You have experience with data analysis (e.g., R, SPSS, Stata, Python, SQL), web scraping, and
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experience with data analysis (e.g., R, SPSS, Stata, Python, SQL), web scraping, and data management. Familiarity with open science practices (e.g., GitHub, database management) is a plus. You are eager
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demonstrable experience in R, Python, or a related programming language. Has demonstrable experience working with (large) datasets. Is familiar with experimental methods (preferred, not required) Already has
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some experience with quantitative methods and statistical software like R, STATA, Python or similar Be enthusiastic about writing international, prestigious academic publications Dutch language is not
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. Knowledge of linear optimization techniques for analyzing energy systems. Proficiency in programming, ideally in Python or similar languages, with a focus on open-source modeling and handling large datasets
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Python. Strong interest in combining computational and experimental chemistry. Excellent knowledge of written and spoken English. Excellent communication skills, especially for collaborating with others
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the programming language Python. Experience in computational chemistry. Basic knowledge about homogeneous catalysis. Strong interest in combining computational and experimental chemistry. Excellent knowledge