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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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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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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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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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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | about 4 hours 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
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for manufacturing chiral metal nanoclusters of different sizes, metal compositions and degrees of chirality (intrinsic and induced). The main objective is to use the nanoclusters designed both as multiphoton imaging
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Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary The Reimer Lab (https://www.bcm.edu/research/faculty-labs/jacob-reimer-lab) studies sensory processing across different brain states and the mechanisms
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. Embedded within a multidisciplinary team of computer scientists, clinicians, and imaging specialists, the postholder will help integrate multimodal data into robust tools that improve patient selection