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conduct in vivo experiments to investigate retinal neurovascular dynamics using the AO-RSO system; Develop or adapt high-speed image acquisition and processing methods for simultaneous measurement
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expertise in quantitative biophysics and/or modeling approaches. • Experience in advanced imaging, quantitative data analysis, and image processing. • Ability to develop interdisciplinary approaches
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following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R
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, their cross-talk with hepatocytes and ductular reaction (DR) cells, and how these interactions determine regenerative capacity. Using advanced imaging, spatial transcriptomics, and innovative 3D culture systems
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the Aiguilles Rouges and Mont Blanc massifs. He/she will compile the archive of Sentinel-1 SAR images used to observe these sites and generate interferograms using a multi-temporal InSAR processing chain such as
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vivo experiments to investigate retinal neurovascular dynamics using the AO-RSO system; Developing or adapting high-speed image acquisition and processing methods for the simultaneous extraction
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for the numerical simulation of high-frequency acoustic and electromagnetic waves is a longstanding open problem in computational mathematics. These waves underpin a plethora of communication and imaging technologies
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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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to carry out the following tasks: Development of analysis scripts for the preprocessing and automated processing of functional neuroimaging data; Statistical modeling of imaging data and evaluation
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are recruiting a Post-Doctoral W/M whose work will focus on biological chemistry for the synthesis and imaging of non-natural sugars. The aim of the GlycoMechano project is to develop molecular tools capable