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business needs of the University. The Business Intelligence Services (BIS) team configures, maintains, and monitors the enterprise Business Intelligence tool. The BIS team creates and maintains the semantic
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computational models of semantic representation. The activities will include the design and implementation of experiments, data collection and analysis, and interpretation of the results, with the aim
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manipulation systems for contact-rich tasks Key research challenges include: Learning reliable predictive models from sparse and noisy sensory data Incorporating semantic priors into planning and control
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to make them usable for transparent energy system analyses. You will process and semantically enrich the collected data before it is integrated into a knowledge-graph-based metadata platform. In
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architectures, semantic interoperability, and governance mechanisms for secure data sharing Cloud-native systems security with focus access control Information The position is 1-2 permanent full-time employments
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' type models to take spatial relationships within interferograms into account and to integrate topographical information from digital terrain models; iii/ developing networks that perform both semantic
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symbolic economies). The aim will be to demonstrate how a particular object or a series of objects can function as a fictional motive, beyond their own semantic meaning: structuring of the plot, modelling
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This project aims to advance representation learning in cybersecurity by developing deep learning architectures capable of extracting high-level, structured, and semantically meaningful representations from
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. Familiarity with ELT tools such as DBT, Fivetran, Informatica, or Matillion. Understanding of data modeling concepts (star schema, snowflake schema, semantic models, incremental loads). Ability to design
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business needs of the University. The Business Intelligence Services (BIS) team configures, maintains and monitors the enterprise Business Intelligence tool. The BIS team creates and maintains the semantic