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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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experts. You will design imaging sequences and develop beamforming and signal processing algorithms to achieve ultrafast frame rates and detailed visualization of cerebral vasculature. You will work closely
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: Solid experience in experimental ultrasound imaging Solid experience with ultrasound sequence programming Solid experience with ultrasound image reconstruction and signal processing Desirable skill
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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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Internship Equine Orthopaedics, Surgery & Anaesthesia Faculty: Faculty of Veterinary Medicine Department: Department Clinical Sciences Hours per week: 36 to 40 Application deadline: 15 February
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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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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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of imaging detectors, optical communication and quantum communication. Depending on the your interests, technical competences and project constrains in 2026/27, you will support one or more of these
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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