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École nationale des ponts et chaussées | Champs sur Marne, le de France | France | about 2 months ago
9 Oct 2025 Job Information Organisation/Company École nationale des ponts et chaussées Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country
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18 Nov 2025 Job Information Organisation/Company Institute of Image-Guided Surgery of Strasbourg Research Field Computer science » Other Researcher Profile First Stage Researcher (R1) Positions PhD
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/ computer vision and pattern recognition, including but not limited to biomedical applications Strong interest in applied machine learning, including but not limited to deep learning Experience utilising GPU
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Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Disea
Qualifications PhD in machine learning, computer vision or a related field. Established expertise in deep learning methods applied to images analysis. Experiences with generative models, volumetric image
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properties. The PhD will start with the analysis of the literature. We will then proceed by developing four main key aspects: Study the perceptual interaction and conflicts between vision and haptics when
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vision researchers to design algorithms specifically tailored for the extraction and analysis of these historical diagrams. EIDA considers these diagrams both as visual heritage and as tools
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university campus in Saint-Martin-d'Hères. This PhD project falls within the priority research areas of the Vision & Emotion team (https://lpnc.univ-grenoble-alpes.fr/recherche/equipes-recherche/vision
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recognised scientific leader with a distinguished track record in research and innovation aligned with LIST’s research portfolio. You will bring a bold vision for scientific advancement, a commitment to
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Mathematics, Computer Vision, or Data Science. -Knowledge of statistical inference methods and machine learning. -Experience in spectroscopy and imaging is an asset. -Strong programming skills in Python
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LevelPhD or equivalent Research FieldComputer scienceEducation LevelPhD or equivalent Skills/Qualifications PhD in ecological, marine or computer science with skills in python and/or R, QGIS, database and