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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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) 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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variables, genotyping and sequencing data, and MRI brain imaging data on patients with neuropsychiatric and severe mental disorders. In addition, we work closely with national population cohorts (MoBa, HUSK
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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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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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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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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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techniques, different histological methods and advanced imaging. Contact For further information about the position, please contact Associate professor Anett Kristin Larsen : phone: +47 77 62 52 12 e-mail
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University of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Good experimental skills will be considered an advantage Experience with image processing will
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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