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Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Disea
radiologists involved in the projects. Training and research environment The Brain Imaging & Neuro Epidemiology group (BraINE) develops advanced methods for medical images analysis, combining computer vision
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. ACTIVITIES Medical image processing and 3D model reconstruction Computational model development using mechanical properties of biological tissues (from the laboratory’s work) Scientific result dissemination in
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the European framework) Know-how: Confirmed experience in stereotaxic surgery in mice Practice of behavioral analyses Ability to develop data analysis scripts Ability to design, prototype and integrate
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4 Dec 2025 Job Information Organisation/Company CNRS Department Architecture et Réactivité de l'ARN Research Field Biological sciences Medical sciences Pharmacological sciences Researcher Profile
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signal/image processing, computer science, applied mathematics, or a related field, obtained less than 3 years before the date of hire. Essential skills, knowledge and experience: Excellent command
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, at the forefront of neuroscience research, has access to a high-tech brain imaging platform, enabling it to explore the brain mechanisms underlying human decisions. The research team focuses on the neuroscience
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LevelPhD or equivalent Skills/Qualifications Holder of a PhD degree in physiology, biomedical sciences, bioengineering, imaging, or related field, you have a first research experience (research engineer
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engineeringEducation LevelPhD or equivalent Skills/Qualifications Educational background: PhD in Biomedical engineering, Optical Imaging/Physics, Biophotonics, Medical Imaging or AI, Image Guided Intervention or a
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experience in computational methods, which may include machine learning. This could involve medical image analyses and processing or biomarker quantification approaches. Experimental set up experience would be
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of Research ExperienceNone Additional Information Eligibility criteria - PhD in Medical Imaging, Biomedical Engineering, Signal Processing, or a related field. - Strong expertise in MRI physics, preferably in