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starting earliest on 1st September 2024. Our research group Our research group focuses on medical imaging working at the interface of the university and university hospital. We are a balanced mixture of
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consortium that develops methods of applied mathematics and physics for the benefit of society, including medical imaging, industrial process monitoring, non-destructive structural testing and satellite data
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for Sensing, Imaging and Modelling, FAME, is a multidisciplinary consortium that develops methods of applied mathematics and physics for the benefit of society, including medical imaging, industrial process
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radiation dose outliers in medical imaging. Supervisor: Matti Hanni RU Health Sciences and Technology: Enabling high-resolution hierarchical imaging of musculoskeletal tissues. Supervisor: Mikko Finnilä RU
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candidate to have a PhD degree from a relevant field with skills and experience in image analysis and machine learning. Familiarity with the volumetric microscopy image data and statistical methods
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synapses in AD, in collaboration with Dr. Karita Haapasalo’s group at the medical faculty. Specifically, protein-protein interactions of complement proteins and ApoE and synaptic proteins will be studied
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synapses in AD, in collaboration with Dr. Karita Haapasalo’s group at the medical faculty. Specifically, protein-protein interactions of complement proteins and ApoE and synaptic proteins will be studies
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Medicine Norway at the University of Oslo is an international biomedical research centre, with the overall objective of translating basic medical research into clinical practice. The Nordic EMBL Partnership
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create scalable and multimodal machine learning techniques utilizing genome, transcriptome, epigenome and imaging data to build clinically useful computational tools. The Precision Cancer Epigenomics group