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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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to explore related topics in Parameterized/Fine-grained complexity or Theoretical Computer Science at large. Your job In algorithm design, the paradigm of decomposition is omnipresent. In the 5-year ERC
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the selection process. About the department The PhD candidate will work under the supervision of Dr. Marcello Carioni and will be part of the group “Mathematics of Imaging and Artificial Intelligence” (MIA
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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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robotic platforms, integration of optical and imaging-based feedback, and development of modeling and control strategies for operation in complex biological environments. Particular attention will be given
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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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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