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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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Inria, the French national research institute for the digital sciences | Gif sur Yvette, le de France | France | 6 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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/Absorption Spectroscopy preferred). Demonstrated experience with high-speed imaging, data acquisition, and complex optical alignment using lasers and advanced detectors. Experience processing dense
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. The project therefore offers the opportunity to work at the intersection of medical imaging AI, methodology and European regulatory science within an international consortium. Where to apply Website https
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engineering, industry collaboration, and the land-grant mission, moving ideas from concept to prototype to field deployment. Our vision is bold: to be the premiere thought leader and partner in ag innovation
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3D Integration — Co-register and combine spectroscopic, spectral imaging, conventional imaging and 3D data acquired over common regions of interest.; • Data Processing and Machine Learning — Develop
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30 Sep 2026 Job Information Organisation/Company Unimore Research Field Engineering » Industrial engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage
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Biology (CBM) offers advice, technical support and training in advanced optical microscopy and image analysis, providing comprehensive support throughout the entire experimental process, from sample design
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Supervisor: Professor Jason Davis Start date: 1st October 2027 Applications are invited for a DPhil studentship in the engineering and application of hybrid “smart” inorganic-organic paramagnetic