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for the position. Preferred selection criteria Experience with machine learning and neural networks Basic knowledge of MR physics Experience with signal processing and/or image processing Experience with Linux
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particular focus on hypertension and other cardiovascular diseases. The work involves advanced processing and analysis of 4D Flow MRI data, as well as the integration of image-based measurements with
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: General mammalian cell culture hiPSC culture and cardiac differentiation Molecular biology (RNA extraction, RT, qPCR) IF staining and imaging (inc. image processing and quantitative analysis of features
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-image pipeline producing around thirty machine images, a self-hosted monitoring platform, a centralized security-logging pipeline, and in-house compliance and security automation — all managed as code in
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multiphoton microscope system. Acquisition and processing of imaging data. Cooperation with biological partners. Documentation of results (reports, plots, preparation of materials for presentations/publications
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knowledge of MR physics Experience with signal processing and/or image processing Experience with Linux systems and High Performance Computing Good oral and written presentation skills in Norwegian
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researcher with strong skills in artificial intelligence, machine learning, deep learning, and computer vision, with the ability to apply these methods to ultrasound image/video analysis and biomedical data
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automation of image processing and data science workflows in a classified environment. This position will contribute to the development of scalable analytic pipelines, automated exploitation tools, and
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(adaptive) imaging strategies and reconstruction. The research combines ultrasound physics, signal processing, machine learning, computational imaging, and clinical translation. Beyond your individual
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-to-day technical execution of the project. Key Responsibilities Assist in the development, implementation, and testing of signal processing and imaging algorithms for high-frequency ultrasound