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Field
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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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Requirements As the ideal candidate for this position, you are enthusiastic and ambitious, an independent thinker, excellent writing skills, and a team player. You hold a PhD in (medical) statistics
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an Assistant Professor in Econometrics, with special interests in theoretical econometrics, statistics as well as their applications to financial and economic data. The teaching tasks of the QE Department
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a Research Infrastructure? No Offer Description What you will do As a Phd-candidate you will work on a four-year research project in the Methodology and Statistics Unit at Leiden University under
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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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can ask statistical and methodological questions. We are looking for a 2 dedicated and enthusiastic students to join the Methods Desk Team. One to start per 1 September and 1 to start asap. What are you
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expertise in sensor technology, deep learning, spatial statistics, image understanding, monitoring and data integration, and modelling the spread and emergence of diseases at various scales. You can find out
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control problems in, for example, financial and energy markets, Collaborate with a team of experts in fields such as stochastic analysis, statistics, finance and computational science, Participate in
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reaching their full potential. In our research team, you proceed with a theory-guided design of dashboards in combination with a student-centered co-design and a thorough statistical evaluation in field
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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