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models available. Project description Nonparametric statistical learning provides a flexible and data-driven approach to choice modeling. Recent advancements have improved its economic interpretability and
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position in the field of Machine learning meets choice models available. Project description Nonparametric statistical learning provides a flexible and data-driven approach to choice modeling. Recent
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mobile robotics. Towards agile sensing and inference, a series of original studies will be conducted based on uncertainty-aware kino-dynamic modeling and statistical machine learning. We put equal emphasis
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learning meets choice models available. Project description Nonparametric statistical learning provides a flexible and data-driven approach to choice modeling. Recent advancements have improved its economic
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modeling and statistical machine learning. We put equal emphasis on developing universally adaptive theories and sensory-specific methods. Through system-level developments, the theoretic-based contributions
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original studies will be conducted based on uncertainty-aware kino-dynamic modeling and statistical machine learning. We put equal emphasis on developing universally adaptive theories and sensory-specific
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form the basis of a thesis leading to a PhD degree (Dr) at the University of Groningen. The position comes with a light teaching duty. The candidate will become a member of the Probability and Statistics
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career in research an excellent command of English in terms of writing and presentation skills. A good knowledge of (1) using statistical software (e.g., Stata, SAS, Python, or R), (2) programming, and (3
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Master degree or equivalent in (Public) Economics, Econometrics, or Statistics with an interest in Housing. Applicants with degrees in other areas will only be taken into account if sufficiently related
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skills. A good knowledge of (1) using statistical software (e.g., Stata, SAS, Python, or R), (2) programming, and (3) conducting interviews and surveys serves as a recommendation (but is not a requirement