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Field
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differences approach to investigate to what extent academic achievement in Higher Education (HE) is related to students’ language backgrounds and study program characteristics. You will conduct a series of
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program characteristics. You will conduct a series of studies: a literature review on the factors causing language-related degree-awarding gaps; constructing and analyzing a large set of student data (in
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longitudinal and cross-sectional studies intended to reveal to what extent students’ develop academic language abilities (in Dutch or English) throughout their bachelor programs, and to what extent
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the project “Watching Our Language: Curriculum innovations for language equity and academic success”, led by prof. dr. Sible Andringa and funded by the Netherlands Initiative for Education Research (NRO
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
climate-related challenges. Proficiency in at least one programming language used for scientific or analytical purposes, e.g., Python. Excellent communication skills in English, both written and verbal
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read English experience with Python, or R language and some experience with scientific programming support ‘open science’: share your tools and data with the wider scientific community. Sharing is caring
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quantitative analysis. Interest in agent-based modelling, network analysis, computational economics, systems thinking, and climate-related challenges. Proficiency in at least one programming language used
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-driven modelling, probabilities, and stochastic optimization solutions is an advantage. Excellent modelling skills and skills in scientific programming and/or numerical computing in languages like Python
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
challenges. Proficiency in at least one programming language used for scientific or analytical purposes, e.g., Python. Excellent communication skills in English, both written and verbal. For more information
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quantitative analysis. Interest in agent-based modelling, network analysis, computational economics, systems thinking, and climate-related challenges. Proficiency in at least one programming language used