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arenas with the user partners in CISU to develop research directions within the CISU context. The candidates' parallel projects enable direct comparison and knowledge transfer across urban contexts. Both
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workloads often resort to large-scale and energy-hungry supercomputers, it is necessary have a more critical look at how HPC should be used in this context. The general research question is: “How can HPC fur
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into the AI-based predictor to tune its behaviour in real-time for a highly personalized and context-dependent experience. This research will be conducted in collaboration with partners of the MishMash center
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research in various areas of mobile network systems, multimedia and AR/VR/XR systems, robotics and machine learning, focusing on fundamental aspects as well as on applications in multidisciplinary contexts
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and context-dependent experience. This research will be conducted in collaboration with partners of the MishMash center. Specific applications in which the candidate will explore are (1) multimodal
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necessary have a more critical look at how HPC should be used in this context. The general research question is: “How can HPC fur-ther enhance AI/ML, and vice versa?” Working closely with the staff
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, robotics and machine learning, focusing on fundamental aspects as well as on applications in multidisciplinary contexts. This position is part of the DRIVE project, funded by the Research Council of Norway
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scholarship and to formulate clear and original research questions. Theoretical, methodological, and source-critical awareness. The applicant’s estimated academic and personal ability to carry out the project