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to design targeted marketing campaigns. Causal Machine Learning is an emerging research field that can learn the causal effect of an intervention and how it varies within a population based on a large set of
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the next generation of managers as they investigate the opportunities presented by data analytics (machine learning, deep learning, data mining) and new information technologies (platforms, cloud computing
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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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layers across heterogeneous platforms. Ideally you would have familiarity with deploying or supporting AI and machine-learning workflows, including large models, large network analytics, or multimodal data
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FTE (4-5 days per week) and we require that you work on campus at least 2 days per week. On the other days, it is possible to work from home. We ensure you are provided with a notebook computer and
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marketing, and statistics is a strong advantage. • Excellent verbal and written communication skills in English; Dutch is strongly preferred. • The ability to adapt and learn quickly, work independently, and
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strong organisational skills Excellent computer skills, especially the usage of Microsoft Office applications Specific Skills Students must have successfully completed at least 2 years of an undergraduate
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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