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proficiency in R or Python for data analysis and modeling. Familiarity with analyzing large-scale healthcare datasets and real-world data. Experience in developing and applying simulation models, including
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network analysis) and AI; Experience with programming in languages relevant to designing AI models and social network analysis, at least including Python; Excellent writing skills and proficiency
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research in TRL forward. Theoretical knowledge of, or experience with, machine learning such as representation and generative learning, and natural language processing. Programming skills, e.g. Python, Java
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/or human-computer interaction. Programming skills, e.g. Python, Java, or C++. Excellent command in English, verbal and written. Prior experience as a research assistant during (under)graduate studies
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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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modelling Disseminate research at conferences and workshops Selection Criteria Experience with LCA, ideally prospective LCA Programming skills, preferably python Knowledge or interest about environmental
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) physics, geosciences, meteorology, oceanography, or similar. You have strong programming skills (Python or similar). You have affinity with spatiotemporal data analyses, remote sensing and numerical
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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