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user and stakeholder engagement. The candidate will be embedded in a multidisciplinary research environment combining expertise in machine learning (ML), numerical modelling, satellite remote sensing
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international network includes researchers from our sister centres: the International Tax Observatory in Paris, and CenTax in the UK. As well as numerous research fellows at Columbia University, University
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, machine learning, mathematical modelling, causal inference, time-to-event analysis, clinical trials, infectious disease and epidemiology, The centre has numerous collaborations with leading biomedical
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analysis, clinical trials, infectious disease and epidemiology, The centre has numerous collaborations with leading biomedical research groups internationally and in Norway. About Integreat Integreat is a
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optimization for the compute continuum, across cyber-physical systems (CPS), distributed artificial intelligence (AI), and high-performance computing (HPC), from the data center to the edge devices
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, reliable, and efficient power systems by leveraging advanced control and optimization approaches. I focus on real-time and cyber-physical co-simulation techniques to design and validate intelligent energy
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on the utilization, safety, and effectiveness of medication use, and (2) optimize pharmacotherapy in vulnerable populations, such as pregnant individuals and children. The overarching aim of my research is to generate
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Norway, in collaboration with numerous public and private sector partners. The primary objective of MishMash is to create, explore, and reflect on AI for, through, and in creative practices. MishMash
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education institutions in Norway, in collaboration with numerous public and private sector partners. The primary objective of MishMash is to create, explore, and reflect on AI for, through, and in creative
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of Norway (2025-2030). It comprises more than 200 faculty members from many higher education institutions in Norway, in collaboration with numerous public and private sector partners. The primary objective