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strategies. Aim The principal aim of this research is to develop, validate, and implement advanced CT image-processing techniques designed to optimise pre-operative planning in revision hip arthroplasty. A key
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de imágenes multimodales HSI/RGB/depth en dispositivos de procesamiento en el edge. / - Specify and design HSI/RGB/depth multimodal imaging systems on edge-based processing devices. - Exploración
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image reconstruction techniques that jointly process multi-contrast MRI data to maximize image quality—leveraging shared anatomical information while preserving contrast-specific features. We’d like
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Portuguese and English; e) capacity for teamwork, autonomy, flexibility and a high sense of responsibility; f) very good computer skills. Experience in using a web content management system, as well as image
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monitoring quality control processes to ensure integrity of research. Primary Responsibilities Train users in specific research protocols; develop training materials. Assist users in learning 2D and 3D image
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scientists, clinicians, and imaging specialists, the postholder will help integrate multimodal data into robust tools that improve patient selection, disease monitoring, and personalised surveillance
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source materials into publication-ready images. The Graphic Designer/Technical Illustrator will follow ILM Graphic Image Guidelines and specifications. Image types include isometric and perspective
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 1 day ago
element solver for the acoustic wave equation. The developments will extend the SFEM wave equation platform based on CG SFEM formulation to DG SFEM formulation. The different tasks will be: Prototype
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innovative AI-driven clinical decision-support systems. Embedded within a multidisciplinary team of computer scientists, clinicians, and imaging specialists, the postholder will help integrate multimodal data
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tasks. - Ability to multi task and work cooperatively with others. Preferred Knowledge, Skills and Abilities: - Familiarity with different microscopy methods and image analysis techniques - Ability