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academic and support staff, we teach and conduct research in the fields of art, history, language, culture and communication, using innovative methodologies and collaborating closely across disciplines. Our
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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
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learning, allowing rapid but rigorous system architecture definition of a launch vehicle within the MBSE collaborative environment. You will also carry out research in the field of Uncertainty Quantification
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engineering efficient bioprocesses for high quality natural products. The group offers expertise in reactor engineering, down-stream processing and metabolic engineering to teach and develop innovative bio
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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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records from satellite data, and/or improved methods of uncertainty characterisation, including the use of artificial intelligence and machine learning to improve or analyse satellite climate data records
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in combination with other machine learning techniques, to create predictive models. You will engage in an interactive feedback loop with domain experts to analyze discovered models and remove any
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welcome employees with diverse backgrounds, cultures, and perspectives. Will you also contribute to making the world a little better? You have a part to play. If you want to learn more about working at
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or geoinformatics) and the willingness to acquire the others during the first months of the project will suffice to be taken into consideration. Our offer We offer: a position for up to 34 months - the length
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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