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electron imaging integration of motion analysis in collaboration processing of images in preparation for image-based modelling Your profile PhD in physics, materials science, computer science, applied
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Do you want to develop new technology for interpretation of images in the field of geoscience? Improve
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application date. Documented pedagogical experience. Experience in image analysis and/or computer vision, especially in the context of medical imaging Development, implementation and validation of AI tools and
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3 Dec 2025 Job Information Organisation/Company Università degli Studi di Genova Research Field Information science Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage
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candidates who have defended a thesis related to political social sciences. Required skills: - Quality of the scientific record and relevance of the thesis work to the FOCALE program - Methodological agility
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Sectional Interventional Radiology fellowship program provides unique advanced clinically rigorous training in Abdominal Imaging, Image Guided interventions and Clinical Research. Imaging training broadly
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Medical Image Processing) of the Institute of Molecular Chemistry at the University of Burgundy aims to cover two essential areas in clinical imaging: the development and deployment of new imaging tracers
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. This project requires high-end skills in Geospatial Engineering & Technology including GeoAI, Geospatial Model Building, Remote Sensing Data Analyses, Advanced Image Processing, Data and Image Mining along with
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Research FieldComputer scienceEducation LevelMaster Degree or equivalent Research FieldEngineeringEducation LevelMaster Degree or equivalent Specific Requirements - Master’s degree in Computer Engineering or
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research by managing imaging data processes, supporting image analysis preparation, and ensuring research-ready datasets for ongoing and future studies. Essential Functions Coordinate imaging workflow