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properties, e.g. high processability while maintaining an open porous structure. However, their fundamental vibrational behavior remains poorly understood. This limits the possibilities to enhance
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the menopausal microbiome using innovative experimental models, supported by structured training in preclinical models, batch fermentation, human colon models, LC–MS–based metabolomics, and next-generation
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, including gene expression analysis and transcriptomics Histological and microscopic techniques, as well as immunohistochemistry Analysis of endocrine organs as well as neuronal and cardiovascular structures
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, and to control the processing parameters such that the structural integrity of the cast components can meet with the demands to performance. The starting date is August or September 2026. Requests
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organized in strategic research programs, one research center, and 49 research groups. The research program structure is currently under review. Information about the various research groups can be found
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the Centre for the Study of Professions. Programme description Information about the content and structure of this programme is described in more detail in the programme description (student.oslomet.no) PhD
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carbon allotropes influence MAX phase formation, structural evolution, and the resulting MXene architecture. By systematically tuning the carbon environment during synthesis, the project aims to synthesise
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in hazard preparedness and response are facilitated by network structures. The candidate will: conduct qualitative fieldwork in three case study communities use qualitative social network analysis and
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to a wide range of scientific disciplines and applications. The Biomaterial Microsystems group is a highly ambitious group, pursuing research on microfabrication of polymer and carbon structures and
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-driven AI models that capture the underlying process–structure–property relationships governing metal additive manufacturing. By combining mechanistic modelling, in-situ sensing, and machine learning