14 post-doc-machine-learning Postdoctoral positions at University of Groningen in Netherlands
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the positive outcomes of twin transition. Specific attention will be placed on the ways in which the disruptions caused by the COVID-19 and Brexit have affected freedom of movement between EU regions. The post
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Organisation Job description Within the Department of Operations, a post-doc position is available on the topic of logistics for customization in secondary education with self-regulation. A paradigm
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Organisation Job description Within the Department of Operations, a post-doc position is available on the topic of logistics for customization in education with self-regulation. A paradigm shift is
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difficult and the creation of more intelligent process control strategies and innovative methods of tracking reliability can be achieved with expert informed machine learning techniques, which offer more
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difficult and the creation of more intelligent process control strategies and innovative methods of tracking reliability can be achieved with expert informed machine learning techniques, which offer more
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, ballistocardiography, and bio-radar) in combination with machine learning based algorithms for time series analysis into the whole OSA diagnosis and treatment pathway. During diagnosis unobtrusive sensors that can be
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investigate how machine-learning based algorithms can be used to personalize the user experience. The goal of this personalized user experience is to enable each individual user to discover their own
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-based-modelling. This post-doc will be responsible for conducting these tasks. The spatial microsimulation will create maps that cover the pilot areas and show where demand for either social services
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/ ) excels in teaching and research in the fields of human behaviour, thinking, learning, and how people live together. We work on societal issues and problems that people experience in daily life. Central to
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from resources like Wikidata or fan wikis. In addition, both the full text and the existing triples can be leveraged for the extension of the knowledge graph via automated reasoning, inferential learning