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remotely located lineages, subject to such genetic constraints, maintain enough diversity to radiate and evolve? This project aims to explore this fascinating paradox. This Postdoc project will incorporate
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candidate interested in statistical applications and epidemiological research. The candidate will join a highly active and international research group with PhD students and postdocs both at the OCBE and CRN
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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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adipogenesis as a paradigm to uncover new molecular pathways by which SUMOylation sustains epigenetic and transcriptional identity during cell differentiation. We expect to contribute to a broader understanding
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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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affiliated with the Multimodal Imaging Group at the Department of Psychology and will be integrated with the Centre for Precision Psychiatry (https://www.med.uio.no/klinmed/english/research/groups/precision
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Researchers, PhD candidates and Postdocs. They work in close contact with the research and user partners of ATLAST2, and with other partners at ITS on the general topics of renewable energy systems. The PhD
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postdoc fellow will be expected to start as soon as possible and at the latest by October 1, 2025. Qualification requirements Applicants must have completed a Norwegian doctoral degree or a doctoral degree
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during sitting, walking, running or performing sports; or (ii) generative machine-learning models for physiologically realistic avatar construction from image or point-cloud data. Qualifications