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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
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from educational philosophy, cultural psychology and humanities studies in special education and health. Through analytical-hermeneutic methods, the project will explore frameworks of understanding and
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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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impairing cognitive performance. Both qualitative and quantitative methods will be employed in the project, as well as other relevant theoretical and empirical tools. We are seeking a candidate with
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increasingly recognized as a key factor in understanding climate variability and have the potential to improve seasonal to decadal climate predictions. The PhD candidate will investigate mechanisms of such basin
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The idea is to combine established iterative ensemble Kalman methods with novel emerging machine-learning-enabled model calibration techniques recently adopted in CLM-FATES at UiO. The aim is: to constrain
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practical insights for a fair and resilient tourism industry. The project will employ a combination of qualitative and quantitative research methods. It can draw on various theoretical perspectives, with
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, school-level aggregated data, and genetic data. The successful candidate is expected to use state-of-the-art research methods for drawing causal inferences from non-experimental data. The successful
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doctoral degree in digital culture, digital humanities, computational media, or a related field, including computer science if the dissertation project had a significant humanistic component. The doctoral
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aims to become an international hub for interdisciplinary competence. Together, CCSE and INTED has established a research activity which focuses on understanding how methods from generative artificial