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Field
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computer science or a closely related field (e.g., mathematics) The selected candidate is interested in declarative problem solving, combinatorial optimization, knowledge representation, and/or logic
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representations of their environment. These features carry semantic meaning relevant to the agents’ mission and can accelerate decision-making, enhance ambient awareness, and enable prediction of action outcomes
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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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topics in small subgroups. Teamwork is a key factor to our group’s success. Together we have assembled a unique skill set and knowledge base in quantum information, quantum computation, quantum
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knowledge for sustainable formulation design. Using different data-driven feature representations, AI foundation models will generate chemical embeddings to predict key physicochemical properties. Coupled
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exist. To address this knowledge gap, in the BUG-ID consortium, seven European universities, one research institute, one hospital and six private companies have teamed up. Our consortium will train 15
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Science, Life Sciences and Medicine. Through its dual mission of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better
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topics in small subgroups. Teamwork is a key factor to our group’s success. Together we have assembled a unique skill set and knowledge base in quantum information, quantum computation, quantum
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interested in natural language processing, geographic information and knowledge representation. It is part of the ERC-funded project GeoTrAnsQData, which develops the foundations of a transformative GeoQA
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cities with headquarters 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