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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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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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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