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PhD scholarship is linked to a successful NHMRC Ideas Grant investigating Non-invasive Dynamic 3D Phase-Velocity Field Imaging (PVFI) to advance epilepsy surgery eligibility and outcomes. About the
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. Criteria Essential or desirable Stage(s) assessed at A PhD (or near completion/equivalent experience) in Physics, Engineering, Applied Mathematics, Computational Biomedical Imaging, or a related highly
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for single-particle analysis (SPA) and cryo-electron tomography (cryo-ET) On-the-fly and offline data processing, advanced image processing Structure determination and interpretation As a cryo-EM support, you
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for improving the quality and visibility of images affected by atmospheric haze. The student will gain hands-on experience applying linear algebra, image processing, and Python programming to a research problem
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and image processing software, and provide personalised as well as small-group consultations to support users from sample preparation to image acquisition and data extraction. This is an entry-level
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opportunities to collaborate with imaging scientists, engineers, and clinicians to develop principled imaging methods with potential clinical impact. Designs research protocols. Assists in developing and
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engineering Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 31 Dec 2026 - 09:30 (America/New_York) Country United States Type of Contract Temporary Job Status Full
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Inria, the French national research institute for the digital sciences | Gif sur Yvette, le de France | France | 13 days ago
optimization. Specific Requirements We are looking for a motivated and talented student following an engineering degree or a Master's 2 specializing in data science / artificial intelligence / image processing
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consultation activities. Serious candidates are encouraged to reach out early in the process to discuss potential options for compensation, bonuses, and scheduling. The diagnostic imaging service is located
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control of the invasion process, modification of microenvironment components, and integration with state-of-the-art research technologies such as high- and super-resolution microscopy, quantitative image