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of GreenNanoBone hydrogels in disease models of Medication-Related Osteonecrosis of the Jaw (MRONJ) using patient-derived cells Development of advanced in vitro and 3D MRONJ models for preclinical testing
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-boundary value problem is reformulated in such a way that loads, boundary conditions and constitutive models are completely or partially replaced by some form of experimental data. The research activities
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to identify specimens. Understanding the diversity of Erica will directly contribute to planning land management in collaboration with Kew Madagascar, Madagascar's Ministry of the Environment, and Madagascar
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analyses we need a modern interpretation of species boundaries and effective tools to identify specimens. Understanding the diversity of Erica will directly contribute to planning land management in
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that advances foundational research, responsible innovation, robust governance and broad capacity building. AI LEARN is a consortium comprising of 31 national and international partners from academia and the
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mission is to establish an internationally leading interdisciplinary hub that advances foundational research, responsible innovation, robust governance and broad capacity building. AI LEARN is a consortium
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intelligence—humans and machines working and learning together. Our mission is to establish an internationally leading interdisciplinary hub that advances foundational research, responsible innovation, robust
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the Section for Ethics and Health Economics (ETØK). The position is part of the project “Strengthening health and disease modelling for public health decision making”, funded by the Wellcome Trust. The project
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systems, and society. In this project, we have established comprehensive databases combining nationwide Norwegian health and socioeconomic registry data, biobanks and patient-reported data. Using advanced
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innovation. This creates outputs such as new prototypes, research articles, and software, as well as innovative start-up companies. Read more about the centre at www.mediafutures.no . Primary Objective Advance