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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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-term contract (CDD) with a transition to a permanent professor position at the end of the fixed-term contract. Potential course subjects include cancer biology, cell signaling, molecular imaging, etc. as
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project and experimental deadlines set by the supervisors.•Report results during meetings and seminars.Profile:•Experience in tissue imaging.•Experience working with mice (injections and perfusion
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European Magnetism Association EMA | Montpellier, Languedoc Roussillon | France | about 2 months ago
Description of the offer : During this PhD thesis, we propose to explore the properties of exotic antiferromagnetism, in non-collinear antiferromagnets like Mn3Sn or in altermagnets. We will image
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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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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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, 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