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competence in quantitative and statistical methods, including applied econometrics and panel data analysis, proficiency in a statistical programming language such as R (preferably), Python, or Stata. Prior
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and statistical methods, including applied econometrics and panel data analysis, proficiency in a statistical programming language such as R (preferably), Python, or Stata. Prior exposure to firm-level
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of the Dutch Experiments on Animals Act, or a comparable EU certification for experimental animal use, is an advantage. Proficiency with programming languages (Python, MATLAB, R) is a plus. Additional
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closely related discipline). You have a strong interest in AI/machine learning, data mining, regression analysis, responsible AI, causal inference, and programming (R/Python, SQL). Moreover, you are driven
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tracking, pupillometry or related psychophysiological methods, or is eager to acquire these techniques; has strong quantitative and statistical skills (preferably using R and/or Python); demonstrates
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and materials synthesis, as well as state-of-the-art spectroscopy. We value personal development: you will receive training in advanced spectroscopy, data analysis (e.g., Python or MATLAB), and
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to experimental results. Excellent programming skills (e.g. C, Python). Excellent communication skills in oral and written English and Dutch. Strong initiative and excellent time management skills. Open to
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. We value personal development: you will receive training in advanced spectroscopy, data analysis (e.g., Python or MATLAB), and scientific communication. You’ll have the opportunity to attend
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, operations research, data science, or a related field; solid programming skills in Python or a comparable environment, and experience analysing patient-level or registry data; affinity with qualitative and
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mathematical/statistical modelling and programming (e.g. Python, MATLAB, or similar). A research-oriented attitude and strong motivation to deliver ambitious, high-quality work. Ability to work in an