567 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" positions in Norway
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representations developed in them as a foundation for this research activity. In this project, you will develop fundamental machine learning methods and apply them in an interdisciplinary research environment
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researchers and PhD students. The research groups conduct research in various areas of mobile network systems, multimedia and AR/VR/XR systems, robotics and machine learning, focusing on fundamental aspects as
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Computer science » Computer systems Computer science » Programming Technology » Computer technology Technology » Information technology Medical sciences » Health sciences All Researcher Profile First Stage
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separation on commercial recordings and extracting audio features (onsets, pitch, harmony, dynamics); curating datasets; and integrating machine learning approaches to complement rule-based methods. For more
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and maintenance of open, community resources. Centre and group information: NCMBM (https://www.med.uio.no/ncmbm/english/ ); Computational Biology & Gene Regulation group (https://mathelierlab.com
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for Catalysis and Organic Chemistry at the Department of Chemistry. The group has extensive experience in computational modelling, reaction mechanisms, and machine learning for catalyst design and discovery. Nova
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applications for a PhD position focused on developing a theoretical framework for monitoring and updating adaptive learning systems (including machine learning/artificial intelligence systems) under formal
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demonstration of a methodology for building and integrating machine learning solutions for past technical artefacts. Contributing to the development of holistic view of product lifecycle, its digital artefacts
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and Language Learning Apply for this job See advertisement The position A postdoctoral research fellow position in the neurocognition of multilingualism and language learning is available in
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of the researchers of the DKM group are also affiliated with the Norwegian Centre for Knowledge-driven Machine Learning (Integreat) . The candidate is expected to join Integreat and strengthen the interdisciplinary