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process here. ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) About the position Knowledge representation languages (KRL) can help to
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in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video
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established practices? iii) Technology Assessment: To what extent do representational approaches such as ontologies or knowledge graphs meet the identified requirements, and where might alternative or hybrid
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tools without disrupting established practices? iii) Technology Assessment: To what extent do representational approaches such as ontologies or knowledge graphs meet the identified requirements, and where
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in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position A new PhD fellowship in path signatures, stochastic analysis, and
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or microgrids. Expected outcomes include novel methods for device-level uncertainty analysis, system-level uncertainty knowledge representation, and enhanced robustness and reliability of IoE digital twins
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-level uncertainty analysis, system-level uncertainty knowledge representation, and enhanced robustness and reliability of IoE digital twins. Duties of the position Complete the doctoral education until
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their spatial and temporal dimensions Representation, visualisation, and scenario modelling Sustainable land-use transitions through integrating knowledge from different disciplines and including different
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UiA-CERN PhD Position in Multi-robot Mapping and Environmental Data Sharing - Uncertain Environments
representation, efficient transmission strategies tailored to mission requirements, and algorithms for combining data from multiple sources to improve accuracy and visibility. The project will also explore