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. Potential methodological topics focus on meta-analyses and the analysis of large-scale assessment data: Methods and approaches to synthesize large data sets via meta-analyses (e.g., meta-analyses of large
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. Integreat develops theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data, laying the foundations of next generation machine learning. We do this by combining
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optimization methods for a grid island powered by renewable energy, supporting both the ATLAST telescope and the nearby community of San Pedro de Atacama. The PhD candidate will have the unique opportunity
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collaboration with UiT’s Equality Committee and other departments. The research is organized into projects with different empirical research focuses, with feminist theory and method as a common denominator. This
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: a description of research topic and question(s) discussion of relevant theory and empirical materials/data description of planned methods progress plan references/bibliography The quality
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UiO/ Anders Lien More about the position The position is tied to CREATE’s strand 3. Strand 3 aims to develop novel methods and statistical software that are tailor-made to the research questions and
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-of-the-art research methods for drawing causal inferences from non-experimental data. The successful candidate should have prior knowledge of quasi-experimental methods and, preferably, large data sources
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the south of Norway. Responsibilities In this position, the candidates will work to develop new methods for accelerating the study of aging in commercial Li-ion battery cells and determining implications
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that SUMOylation of chromatin-bound proteins ensures the precision of gene expression and transcription factor dynamics during adipogenesis. However, the molecular mechanisms by which SUMOylation orchestrates
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flow law, compare it to similar research on olivine, and help implementing this model into the geodynamic software ASPECT. The aim is to develop a single method for anisotropic flow modelling for both