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the project MinMix (Mineralization as a fluid mixing process) funded by the Research Council of Norway. In this project, we will use advanced time-lapse imaging, numerical simulations, and reactive mixing
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sequencing data, and MRI brain imaging data on patients with severe mental disorders. In addition, we work closely with national population cohorts (Tromsø, HUSK, HUNT), and collaborate with Nordic partners
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computational physicist for a 3-year PD position in the project MinMix (Mineralization as a fluid mixing process) funded by the Research Council of Norway. In this project, we will use advanced time-lapse imaging
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biomarkers, clinical, and cognitive variables, genotyping and sequencing data, and MRI brain imaging data on patients with severe mental disorders. In addition, we work closely with national population cohorts
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disorders, their treatment, and outcomes. The Centre has access to a large database of biomarkers, clinical, and cognitive variables, genotyping and sequencing data, and MRI brain imaging data on patients
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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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-scale effect. The end goal of this project is to develop, via experimental testing and advanced material characterization, quantitative models of the process underlying the repeated generation
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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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, The Norwegian Centre for Knowledge-driven Machine Learning (ML), a center of excellence funded by the Research Council of Norway. The center is in operation from 2023 to 2033 and will fund more than 60 PhD and