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to data preparation and ultimately quantification. You will oversee the research PACS at the NCT and be the main contact person for questions about imaging processing, analysis, and archiving. Your Profile
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W3 Endowed Professorship for “Hemodynamic Modeling in Atherosclerosis- (f/m/d) KSB Foundation W3 end
state-of-the-art imaging techniques with software-supported analysis of flow dynamics and mathematical modeling for the precise characterization of hemodynamic mechanisms in atherosclerosis. In research
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science/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning
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Package: Actively participate in a participant-driven co-design process to develop a framework for returning molecular and imaging data to study participants Contribute scientific content to patient
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to biomedical data is a plus Experience in image processing techniques, such as segmentation, is of advantage Ability to quickly grasp new concepts and work independently on complex problems Ability to work as
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evaluation routine for area detection of microscope images of salt solutions during solidification Linking the time curves of the automated area evaluation and simultaneously recorded heat flow signals of a
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learn microinterventions, such as taking blood samples from specific vessels of mice. Experience and FELASA-B certificates are an advantage. MS Office skills; experience with image processing software is
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of image processing e.g. using machine learning German skills For further questions, contact Dr. lmke Greving (imke.greving@hereon.de). We offer you an exciting and varied job in a research centre with
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advance interdisciplinary research on imaging of the brain in neurological diseases (with a focus on epileptology) in close collaboration with the department for neuroradiology. Solid expertise in the field
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robotics Goal-driven agentic AI Autonomous medical imaging Design of AI-enhanced medical devices Machine learning models and algorithms for medical signal processing Embedded AI Privacy-aware AI Foundations