33 machine-learning positions at University of Groningen in netherland in Netherlands
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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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Post-doc Machine Learning and Modelling of Perovskite Solar Cells (V24.0287) « Back to the overview Job description The University of Groningen is a research university with a global outlook, deeply
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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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Post-doc in Machine Learning for Image Processing on Embedded Devices (V24.0155) « Back to the overview Job description We are looking to fill a two-year postdoctoral researcher position as a part
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project will be to develop machine learning models capable of robustly classifying images of agricultural crops based on markers for health state of the crop and deploying those models on a variety of low
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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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Post-doc Machine Learning and Modelling of Perovskite Solar Cells (V23.0212) « Back to the overview Job description The University of Groningen is a research university with a global outlook, deeply
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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