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: Performing stereotaxic surgery on mice Setting up and conducting in vivo calcium imaging experiments Carrying out electrophysiological recordings with optogenetic stimulation Developing and implementing
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papers and articles. This project brings together a consortium of human science and computer vision laboratories and archive institutions (Echelles, LIP6, LIPADE, Image Centre Toronto, SHD-Vincennes
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» Modelling toolsEducation LevelPhD or equivalent Skills/Qualifications PhD in physics, applied mathematics, signal and image processing, digital imaging. Specific Requirements The candidate will work in a
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journals. - Participating in the supervision of interns and PhD students within the team. Main Activities: - Develop a colorectal cancer model through C. rodentium infection and chemical agents. - Set up and
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equipped with evolving, plastic neural networks models, which process visual information and drive motor action. These virtual agents will navigate in virtual reconstructions of ants' natural environment, so
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imaging techniques) to the resulting visual appearance (measured with appearance-based methods). The post-doc will be supervised by Bilge SAYIM at the École Normale Supérieure (ENS), Université PSL, within
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of Research Experience1 - 4 Additional Information Eligibility criteria A recent PhD on wave propagation Experimental skills in mechanics, dynamics, wave propagation, image correlation Good knowledge
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mechanisms engaged when deciding to transmit information in social networks. Candidates must have (or nearing completion of) a PhD degree in neuroscience, social psychology, behavioral economics, computational
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security, artificial intelligence, image and text processing, microelectronics, etc. The laboratory is particularly involved in AI research, notably developing work on generative models to accelerate
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processing, involving machine learning techniques, as well as active participation in data collection from the detectors deployed on site. - Analysis of particle physics data applied to muography: filtering