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of data, especially heterogenous data made of several data types (continuous, texts, images, times series, networks, …). For example, social and communication networks allow users to interact through text
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the model to be trained. Access to this imaging has already been anticipated through the Health Data Warehouse (AAP Entrepôt de Données de Santé EDS 2023) via the “FraCTures” project, allowing
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production of data, especially heterogenous data made of several data types (continuous, texts, images, times series, networks, …). For example, social and communication networks allow users to interact
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: micromagnetic simulation, conversion of theoretical data into experimental contrast and acquisition of experimental images. The work will be carried out by three teams: theory/simulation, spin textures within
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ability to work in a cooperative, multi-cultural and multi-disciplinary environment. Dynamism, self-organization, autonomy and drive. Interest for computing biology (R programming, image analysis) will be
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. Interest for computing biology (R programming, image analysis) will be an additional asset. Contact & applications: Applications should be sent to pierre.guermonprez@pasteur.fr ; julie.helft@inserm.fr
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analysis of immune cells infiltrating tumors, – to implement spatial transcriptomics of the tumor microenvironment (VISIUM HD, Merscope, e.g.), – to explore new avenues to integrate high dimensional imaging
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, IRCAN, ISA). His/her group will leverage large-scale, high-dimensional datasets—such as genomics, transcriptomics, proteomics, imaging, or single-cell data—to uncover fundamental biological mechanisms. We
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infrastructure-free sensing paradigm enables the capture of acoustic scenes over distances exceeding 100 km, with meter-level spatial resolution and millisecond-scale temporal precision. However, the real-time
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rodent studies—obtained by electrophysiology, fiber photometry, and calcium imaging in vivo recordings—the project will build a biologically grounded SNN model of memory de-association. The ultimate goal