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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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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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renowned virologist and one of the pioneers of the CRISPR-Cas technology, which works by cutting a DNA sequence at a specific genome location and deleting or inserting genes there. The CRISPR-Cas method
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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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candidates, postdoctoral researchers, scientific and technical staff, and contributing to joint experimental campaigns. You may also contribute to teaching activities within Radboud university and support for
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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
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programming skills (preferably Python and/or C++); Excellent proficiency in English (oral and written). Flexibility regarding working on-site with the diverse project partners. If you immediately recognise