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complex datasets with a preference for a candidate with at least basic knowledge of Python/R; Demonstrated interest in advertising or marketing communication and social media; An interest in open science
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high-level impression of the style of research. H. Fokkema, R. de Heide and T. van Erven. Attribution-based Explanations that Provide Recourse Cannot be Robust . Journal of Machine Learning Research, vol
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; Computational skills to handle and analyze complex datasets with a preference for a candidate with at least basic knowledge of Python/R; Demonstrated interest in advertising or marketing communication and social
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field. Graduation from a two-year Master’s programme (120 ECTS) is an advantage. Research skills – Knowledge of econometric methods, statistical software (e.g., Stata or R), or experience with economic
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learning) and uncertainty assessment; proficiency in high-level programming languages such as Python or R; excellent scientific writing skills in English; a strong interest in environmental characterization
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to real-world scenarios, more specifically, to multi-speaker settings such as meetings or dialogues and also to multi-modal data, including text or video data. Publishing such data, which is essential to R
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) Knowledge in programming (e.g. Pyhton, R, SQL) and data science frameworks (TensorFlow, PyTorch, Scikit-learn) is a plus Excellent English language skills What we offer As a PhD Candidateat Faculty of Health
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case of a degree focused on health) Affinity with health promotion or willingness to develop in that field (in case of a degree focused on data science) Knowledge in programming (e.g. Pyhton, R, SQL) and
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, including (but not limited to) longitudinal survey research, (automated) content analysis, and experiments; proven proficiency in statistical software such as SPSS, Stata and/or R; a scientific mindset
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, or modelling of socio-environmental systems. Proven programming skills in Python, R, or a comparable language. Interest in developing methodologies to assess localized climate hazards, exposure, and