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in magnetic resonance imaging funded by the European Research Council (ERC). The role includes working with existing neural networks for image analysis and image processing with technical experience
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including vision transformers, for computer vision tasks. Previous experience in image analysis/processing. Bachelor’s and/or MSc degree in machine learning, computer science, electrical and computer
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cancer in radiological images? We have up to two positions open. Our research is internationally recognized for the development and evaluation of AI for radiological breast cancer diagnostics with recent
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use cellular and animal models together with novel molecular imaging techniques to understand the molecular mechanisms underlying the diseases. Our goals are to identify novel biomarkers and medically
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with proven experience in cell and molecular biology, who wants to discover new medicines to treat cancer and other age-related diseases. Our research group is an international team surrounded by strong
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RNA-sequencing; high resolution imaging using spinning disk confocal microscopy; fluorescence image processing; single-cell data analysis. What do we offer? A creative and inspiring environment full
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to engineer specific neuron types within the adult gut wall. A wide range of transcriptomic, epigenetic, transgenic and imaging methodologies are utilized to meet these aims. By resolving mechanisms of ENS
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imaging and bioenergetic assays to address our research questions. We consist in a group of seven people with different academic levels and backgrounds, educationally and culturally, and we have ongoing
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, migration and viability assays. Additionally, you will be required to assist in the laboratory with basic molecular biology techniques, tissue processing and cryosectioning, immunofluorescence staining
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information from sequence alone, independent from optical microscopy. This adjacency or neighbor-neighbor information can be used generate images in a computer. Today one person can routinely read millions