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Where to apply Website https://www.academictransfer.com/en/340637/phd-machine-learning-meets-choice-mo… Contact City Groningen Website http://www.rug.nl/ Street Broerstraat 5 Postal Code 9712 CP STATUS
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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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for a highly motivated and qualified PhD student/researcher who will work towards developing new (machine learning and deep learning-based) algorithms and procedures that exploit human labelling and
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of Oxford and Valencia, on a large-scale European project. The focus of the postdoc project will be on using advanced numerical simulation modeling software and machine learning techniques to quantitatively
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quality of traditional HTR algorithms. We are looking for a highly motivated and qualified PhD student/researcher who will work towards developing new (machine learning and deep learning-based) algorithms
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current drift-diffusion modeling software, applying it to experimental data, and using machine learning to identify trends in the data. Applicants should have a PhD in physics, materials science, electrical
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new (machine learning and deep learning-based) algorithms and procedures that exploit human labelling and machine-based clustering efficiently. Human labelling (from Dutch cultural heritage partners
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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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uncomfortable or unpleasant. The results from human perception will then be used in the model to predict unpleasant in hand vibrations. An in hand discomfort model can be developed using machine learning