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image reconstruction methods, signal processing techniques, and data analysis pipelines for novel X-ray imaging modalities, including ghost imaging, quantum-enhanced imaging, and other correlation-based
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necessary lead relevant meetings. To undertake any other duties relevant to the programme of research. Job Requirements: Master’s degree in computer engineering, Computer Science, Electronics Engineering or
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the School of Biomedical Engineering & Imaging Sciences at King's College London to contribute to a three-year Prostate Cancer UK–funded project aimed at transforming active surveillance for prostate
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image reconstruction methods, signal processing techniques, and data analysis pipelines for novel X-ray imaging modalities, including ghost imaging, quantum-enhanced imaging, and other correlation-based
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. Strong background in neuroimaging techniques (e.g., MRI, PET) and computational modeling. Proficiency in programming languages such as Python, MATLAB, or R. Experience with image processing tools and
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to hear from you if you: Are an enthusiastic and ambitious researcher with expertise in image processing, and a strong interest in advancing neuroimaging technology for global health; Are excited
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Laboratoire de Physique des Interfaces et des Couches Minces (LPICM), UMR CNRS/École Polytechnique, | Palaiseau, le de France | France | 8 days ago
multidisciplinary team involving image processing labs (e.g., CMAP) and French hospitals (e.g., CHU Kremlin-Bicêtre, Hôpital Foch, Institut Mutualiste Montsouris, Institut Gustave Roussy). Phase 1: Design and develop
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-dedicated hybrid theatre with the opportunity to fully customize the operation of a clinical robotic imaging system. You will benefit from a strong mentoring environment as part of the interventional imaging
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methods, signal processing techniques, and data analysis pipelines for novel X-ray imaging modalities, including ghost imaging, quantum-enhanced imaging, and other correlation-based methods. As part of a
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experiences in healthcare wearables signal, data processing are preferred. Interdisciplinary Collaboration: Engage with researchers in biomechanics, engineering, and healthcare to translate research