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Stig Brøndbo 4th June 2024 Languages English English English Faculty of Science and Technology PhD Fellow in deep learning for spatio-temporal medical image analysis Apply for this job See
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of maturity, this technology requires to experiment a change of paradigm to guarantee a sustainable development for the years to come. One pathway to achieve this paradigm shift relies on the development
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attaching their high school diploma. International experience is an advantage. The suitable candidate must have: Experience in signal and image processing. A solid background in machine learning, statistics
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with the rise of single cell methods and advanced subcellular imaging technologies, have opened up new and exciting opportunities to study immunology. We are seeking a highly motivated and self-driven
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, image processing, data collecting, and analysis. For full information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/261638/phd-research-fellow-in-experimental-porous-media-physics
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the principal investigator of the RCN project. In this project, we aim to develop a new quantitative microscopy method called 5DQUIP for imaging dynamic processes in thick samples such as engineered
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development and maintenance of resources and tools for atlas-based integration and analysis of experimental rodent brain data, and 2) providing services for FAIR neuroscience data and data processing. The full
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is the principal investigator of the RCN project. In this project, we aim to develop a new quantitative microscopy method called 5DQUIP for imaging dynamic processes in thick samples such as engineered
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, including the development of experimental setups, design, image processing, data collecting, and analysis. The research will also incorporate theory and simulations connected to the experimental
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and collaborative skills, as well as the ability to work independently. Previous biostatistics experience in cardiovascular or cardiometabolic biomarker research, cardiovascular imaging research