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reality and mixed reality; data modelling and databases, in particular the spacecraft reference database; semantic modelling in support of digital continuity and semantic interoperability; digital twin
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requested by us only if your application is considered For more information on the open position, you can contact Prof. Massimo Sartori, mail: m.sartori@utwente.nl. Please, only apply via the web platform and
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. For more information see: https://www.universiteitleiden.nl/ . Leiden University Centre for the Arts in Society (LUCAS) is one of the seven Academic Institutes of the Faculty of Humanities. The institute
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current research/activities Ability to gather and share relevant information General interest in space and space research Behavioural competencies Education You should have recently completed, or be
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sustainable way of dealing with their health conditions. The technical challenge within this project lies in the huge variance of the data. Furthermore, the app needs to be able to work with sparse incomplete
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). The emergence of data-driven techniques (broadly grouped under the term “machine learning”) challenges the traditional foundations of controls and represents an alternative paradigm that cannot be ignored
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are as follows: Estimate the onshore technical and economic potential for CCUS in rural areas in Germany, the Netherlands and Norway. Gather high resolution spatial explicit data on (potential) CO2 sinks
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able to further develop your skills in econometrics and quantitative as well as qualitative methods (e.g., surveys and interviews). Have a basic working knowledge of the Dutch language, because the data
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quickly derive the necessary information from noisy, incomplete, real-world data. Furthermore, the algorithms to be developed within this project will be implemented on automated beds that provide fully
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will combine BERT type models and Large Language Model (LLM) to examine research publications and patents, in combination with other unstructured data sources such as policy documents, media, call