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. (2017). Beyond prediction: Using big data for policy problems. Science, 355(6324), 483–485. Barocas, S., Hardt, M., & Narayanan, A. (2021). Fairness in Machine Learning. Retrieved from https
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the Netherlands with both scholars focusing on developing and applying state-of-the-art methodologies from the fields of statistics, economics, and machine learning, as well as scholars focusing on consumer
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considered an advantage. Technical Skills Proficiency in MATLAB, Python, and/or R. Experience with data science frameworks (e.g., AI, LLMs). Familiarity with machine learning (e.g., scikit-learn, MVPA, RSA
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. This involves mutual learning, where both parties gain insights into each other's approaches, capacities, and roles. In this context, the involvement of academia, particularly in their role as civic universities
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letters, · Two (academic) reference letters, preferably from a thesis supervisor or research project supervisor. Please send them to doctoraloffice@ese.eur.nl after submitting your application form
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on the IELTS test. Two (academic) reference letters, preferably from a thesis supervisor or research project supervisor. Please send letter to doctoraloffice@ese.eur.nl Curriculum Vitae Employment conditions and
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-supervisor (aydincakir@law.eur.nl ). Stay up to date with new vacancies! Want to be the first to know about vacancies that match your interests? Let us know what you're looking for, and we'll send you an email
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interests? Let us know what you're looking for, and we'll send you an email as soon as a new opportunity that fits your profile is posted. Don’t miss out on your perfect job! Sign up Close Stay up to date
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be part of a prestigious Marie Skłodowska-Curie Doctoral Network “MITIME: Migration and Time in Post-industrial Urban Europe” (see details here MITIME Opens external ) together with other 14 PhD
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up to date with new vacancies! Want to be the first to know about vacancies that match your interests? Let us know what you're looking for, and we'll send you an email as soon as a new opportunity that