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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 12 days ago
., BLIP-2, LLaVA, MiniGPT-4), able to follow instructions or answer questions about an image, to extract localization information from images. More precisely, we want to examine how their general-purpose
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to cognition and from embryo to adult, using multiscale experimental and theoretical approaches. The brand-new NeuroPSI building is located next to the NeuroSpin institute for brain imaging, thus forming
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methodology and instrumentation, as well as in the field of Biomedical Imaging applications. The laboratory has developed many interactions with research teams specialized in the fields of oncology, cardiology
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of deep learning in many disciplines, particularly computer vision and image processing. Consequently, coding architectures based on deep learning and end-to-end optimization have been proposed [Ding 2021
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Software Engineer position to a highly motivated and dynamic engineer who wishes to further develop their coding and software development career in a stimulating environment. The selected candidate will contribute
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monoclonal clones, then expand them. Characterisation, imaging and analysis (high-content screening): o Validate generated clones using confocal cell imaging approaches (high-content screening). o
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persistence in chronic infections (Salmonella, Pseudomonas, and Achromobacter) by integrating spatial modelling, single-cell transcriptomics, advanced imaging data, and machine learning approaches. The goal is
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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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. State-of-the-art core facilities (imaging, histology, cytometry, cell culture, etc.) are available onsite. The successful candidate will work on the EPIMAST project funded by the University of Reims
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of mineralogical characterization of materials (pictorial and others) to the understanding of rock surfaces. The use of hyperspectral imaging, which is non-invasive and non-destructive, is central to current