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ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to create globally leading
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-derived organic matter. Your job Blue carbon is the carbon captured by the world’s oceans and coastal ecosystems. Seagrass meadows are productive coastal ecosystems with the potential to store substantial
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of specific clients, locations, and ecosystems. Established in 1914, the UO School of Architecture and Allied Arts was one of the first to break away from Beaux-Arts pedagogy to emphasize non-competitive
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at the forefront of ground breaking discoveries, shaping global knowledge across diverse fields. With 31 Colleges, over 150 faculties and departments, and a thriving ecosystem of museums, libraries, and research
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PhD Studentship: Open Radio Access Network (ORAN) for Distributed Edge Computing Orchestration in 6G
Language Models (LLMs). Orchestrating AI/ML pipelines in 6G. Developing certification and checking processes for code inside ORAN 6G. The research will be a combination of software engineering, radio
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processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life
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innovation behaviors and processes and cultivate innovation ecosystems in complex organizations tackling multi-stakeholder, multi-attribute challenges. -Contribute to the Institute for Innovation Science's
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molecular biology and genetics; including medical/clinical bioinformatics) ecoinformatics (modelling of interacting organisms and computational ecosystem sciences) geoinformatics (geographical information
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model checking. You should be well versed in basic statistics and practical programming skills is a must. Knowledge about the inner workings of GenAI would be nice but not necessary. You must have a two
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generalization. However, existing machine learning theory does not fully explain this behavior, leading to the development of new approaches. A promising explanation is that models are implicitly regularized