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Join the IMAGINE open innovation lab community to accelerate innovation. As a researcher you will: Design and conduct research on metabolic MR imaging technologies, focusing on improving quality
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models (CNNs, Transformers, GANs) for PET and CT dose reduction - Work with raw PET/CT data, projection data, and reconstructed images - Perform quantitative image evaluation and clinical validation
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parameters based on paired visible-light and X-ray images. The developed techniques will be validated on real data. As a candidate, you must have a strong background in machine learning and computer vision, as
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neuroanatomy, neuroscience or a related field, and enjoy analysing neuroimaging data, scripting and data analysis? And are you passionate about medical imaging and its potential to improve our understanding
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project organisation skills. Your communication skills in English are excellent, both written and spoken. You have experience in: Image processing, medical imaging, and an interest in biomedical research
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be the driving force behind the design, construction, and experimental validation of a next-generation magnetocaloric heat pump prototype, a technology poised to revolutionize the market and contribute
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, actuation, and control. The research includes the design, fabrication, and experimental validation of micro-scale robotic platforms, integration of optical and imaging-based feedback, and development
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Mathematics (Inverse Problems), Computer Science (Machine Learning, Computer Vision, Efficient Algorithms and High-Performance Computing), and Physics (Image Formation Modelling). Your project is part of
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), and confocal imaging. Furthermore, you will use state-of-the-art in vivo noncanonical amino acid tagging (NCAT) to evaluate protein synthesis. In addition, you will be involved in other ongoing projects
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Effective cancer management requires precise imaging, but current