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lead the image processing and computational analysis efforts, developing robust methods to register, segment, and analyse spectral micro-CT data, and — where relevant — advance reconstruction and
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for capturing temporal dependencies, but their dense and synchronous processing limits their suitability for embedded and low-latency scenarios Vaswani et al. (2017); Tay et al. (2020). This work investigates bio
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the ECHOES ERC project. The primary objective of this PhD is to develop and validate innovative post-processing techniques for the detection of exoplanets in coronagraphic images. Unlike traditional methods
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, an endo-surgery center, and more. CT Technologist - 3D and Advanced Image Processing (PRN) Location: Duke University Hospital – Multi-Dimensional Image Processing Laboratory 2424 Erwin Road, Suite 402
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working within Theme 3 of the Programme: ‘Image-guided Surgery’ and will involve the synthesis and assessment of novel multimodal nanomaterials for healthcare applications and radiolabel for PET imaging
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anomaly detection using advanced and optimized methods. • Literature review (image processing, deep learning, vision-language models, diffusion models, etc.). • Generative AI for creating reliable models
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including the development, training, and testing of computer vision and machine learning tools for AI-automated anatomical landmark detection and segmentation of clinical images. Building upon previous work
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HCI and cybersecurity, to cancer research tools and methods for numerical analysis and machine learning. The research work takes place in a multidisciplinary team with a focus on image processing with
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in this role? The Image Guided Surgery Technician III (IGS Tech III) is under the supervision of the Image Guided Surgery Lead. The Image Guided Technician III performs at an advanced level and may
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computer vision method for medical image analysis principally in oncology or pathology, with a possible focus on generative AI, explainability, multi-modality. Candidate’s profile A good Bachelors degree