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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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, 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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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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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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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
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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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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 1 month ago
research lab consists of more than 20 researchers, faculty members, PhD students, engineers and interns, working in the field of image processing and neuroimaging. The team targets the detection and
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leading experts across the whole of Europe in statistical and medical genetics. The postdoc will also help in the recruitment process of the ~17,000 individual genomes that France will contribute to the GoE
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resonance spectroscopy, imaging (MRI), Applied Mathematics or Machine learning. We are looking for talented, highly-motivated experimentally skilled young scientists with Master degrees or equivalent or PhD