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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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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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and written communication skills in English. Preferred selection criteria A strong background in imaging techniques and proteomics. Fluent oral and written communication skills in a Scandinavian
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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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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
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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
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research in human cognition with the application and development of advanced methods in neuroscience and neuropsychology. Methods for brain-imaging and brain stimulation are employed to understand, predict