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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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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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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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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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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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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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phenomenology of land-, sea- and icescapes; and/or (3) remote-sensing-based machine-learning applications for archaeological modeling and survey. Importantly, this work will be carried out in close cooperation
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vis-à-vis changing environmental/climatic conditions; (2) analysis of viewsheds and the phenomenology of land-, sea- and icescapes; and/or (3) remote-sensing-based machine-learning applications