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The Learning Machines group seeks motivated PhD students to join our team working on learning in physical systems. What are learning machines? Imagine your favorite artificial intelligence machine
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interpretability and predictive accuracy. We want to explore the structural parameters in choice models (e.g., random coefficient logit models) and obtain valid inferential results using machine learning-enhanced
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well on various excellence ranking lists. FEBRI, the graduate school and research institute of the Faculty of Economics and Business has one PhD position in the field of Machine learning meets choice
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PhD Machine learning meets choice models (1.0 FTE) (V24.0232) « Back to the overview Job description Since its foundation in 1614, the University of Groningen has enjoyed an international reputation
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to announce a joint open PhD position in Improving Machine Learning Methods for Contingent Claim Pricing and Hedging. The project will focus on, but will not necessarily be limited to, a promising relatively
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computing (SC)? Are you fascinated by the emerging field of machine learning (ML)? Are you our next PhD-candidate in scientific machine learning or SciML (combining SC and ML)? Are you eager to work on the
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total. In your project, you will do research on and apply machine learning techniques to make a real-world impact in academia and at financial institutions. A potential research topic is the design of
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PhD Position in Machine Learning for Digital Fincance PhD Position in Machine Learning for Digital Fincance Published Deadline Location today 5 May Enschede Job description You will be a member of
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professor you will contribute to the research and education of the Laboratory of Systems and Synthetic Biology (SSB). You will set up and maintain a research line on the development of machine learning
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Vacancies PhD Position in Machine Learning for Digital Fincance Key takeaways You will be a member of the MSCA Industrial Doctoral Network on Digital Finance, a European Research and Training