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innovative methods for processing and analyzing 7Tesla MRI images of different modalities and formats (NIFTI, DICOM, etc.) using machine learning and artificial intelligence techniques. These methods will be
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for high-precision, dynamic biomechanical testing. This includes:* improving actuation control (speed and smoothness of motion),* ensuring synchronization with imaging systems (e.g., micro-CT, OCT
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biology OR virology A solid background in virology, transcriptomics and imaging Hands-on experience with experimental animal and/or iPSCs models Technical expertise in working in BSL-3 environment A
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), I³ (Inorganic–Isotopy–Imaging), ECOMES (emerging contaminants, speciation, and omics), Surface and Interface Characterisation, and Microbiological Characterisation. Together they enable an end‑to‑end
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Inria, the French national research institute for the digital sciences | France | about 14 hours ago
). Under USM, policies developed by system administrators execute in user space, which greatly facilitates their deployment and maintenance. A functional prototype of USM already exists and has been used
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contribute to the development of a proof of concept obtained at University Côte d’Azur for accessing the content of a metabolomics knowledge graph (KG) with a large language model. It is Python prototype of a
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to microwaves, and will image the displacement of magnetic textures by currents, to quantify their efficiency in the generation of orbital currents and torques. Our approach will rely on the realization of new
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behavioral assays in the animal models Immunohistochemical analysis of neuronal, astroglial and microglial markers in zebrafish and mouse brain samples In vivo imaging of specific brain cells in the transgenic
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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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, biosynthesis and immune response. Key Responsibilities: • Conduct high-quality research on cell wall analysis of Candida species. • Using confocal microscopy imaging, flow cytometry and biochemistry and genomic