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into the relationship between aesthetics and culture in its many-shaped and multi-medial forms. The group has worked on several projects in the past, among them one that paid particular attention to the dual theme
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members of staff. The Research Groups The Aesthetics and Cultural Studies research group advances interdisciplinary inquiries into the relationship between aesthetics and culture in its many-shaped and
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of education (for example opplæringslova (Act relating to Primary and Secondary Education and Training (the Education Act) and universitets- og høyskoleloven (Act relating to universities and university colleges
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to investigate the role of integrin alpha11 in human and mouse cardiac fibrosis. About the project/work tasks: take part in characterizing a new fluorescent reporter mouse strain with regards to integrin alpha11
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person cannot supervise or act as mentor for more than four (4) PhD and/or postdocs funded by The Faculty at the same time. Please see guidelines here 9. List of main supervisor’s publications over
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experience/competence: Master standard molecular biology and cell biology methods that are relevant to the research group. Solid experience with CRISPR/Cas9-based modification of human cell cultures
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PhD: Development and application of Machine Learning for downscaling climate predictions/projections
the relationship between large-scale predictions made by coarse resolution dynamical models and local surface variables of interest (such as near surface temperature, precipitation, wind speeds). This is
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PhD: Development and application of Machine Learning for downscaling climate predictions/projections
efficient emulators of high-resolution state-of-the art regional climate models. The goal of the emulators is to learn the relationship between large-scale predictions made by coarse resolution dynamical
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PhD: Development and application of Machine Learning for downscaling climate predictions/projections
the relationship between large-scale predictions made by coarse resolution dynamical models and local surface variables of interest (such as near surface temperature, precipitation, wind speeds). This is
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PhD: Development and application of Machine Learning for downscaling climate predictions/projections
efficient emulators of high-resolution state-of-the art regional climate models. The goal of the emulators is to learn the relationship between large-scale predictions made by coarse resolution dynamical