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the Research Council of Norway. In this project, we will use advanced time-lapse imaging, numerical simulations, and reactive mixing theories to better understand and predict the role of fluid mixing as a driver
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data, and MRI brain imaging data on patients with neuropsychiatric and severe mental disorders. In addition, we actively collaborate with large international consortia, particularly the Psychiatric
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) techniques applied to geological materials (e.g., EBSD, FIB-SEM, EDS, STEM imaging) Computational skills (e.g. Matlab, Python) Previous experience, at the PhD level, in one of the following fields: (1
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the rewiring of transcriptional programs during initiation of adipogenesis is to be established. This project will utilize adipogenesis as a paradigm to uncover new molecular pathways by which SUMOylation
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exacerbated by the occurrence of severe weather conditions, which have already been predicted to increase in the future across Norway. Addressing the challenges of emerging contaminants requires a paradigm
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characteristics Good at anticipating problems and identifying logical solutions as well as contradictions and inconsistencies Develops effective, sensible and practical solutions to problems Sees the big picture
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postdoc positions. INTEGREAT develops theories, methods, models and algorithms that integrate general and domain-specific knowledge with data, extending the data-centric paradigm of ML. Applicants