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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 10 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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Leibniz-Institute for Plant Genetics and Crop Plant Research | Neu Seeland, Brandenburg | Germany | about 13 hours ago
Training for Next Generation Scientists in Spatio-Temporal Imaging of Plant Cells” (AGILE) European project at the forefront of chromosome biology and microscopy (https://www.msca-agile.eu/ ) PhD Research
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(digitised signals, geopositioning data and inertial units, video/images) (punctuation: 15) Item 04: Personal interview. The interview will only be carried out with the 3 candidates with the highest score in
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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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properties of individual materials depending on the temperature. The results obtained from the numerical analyses give a relatively objective picture of the behavior of materials under the influence
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, the project will: Develop novel, modular statistical solvers to integrate domain-specific knowledge directly into latent variable models. Account for spatial structures, physical laws, high-dimensional imaging
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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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-term epigenetic reprogramming in microglial cells, and microglia–T cell interactions. Using state-of-the-art approaches including single-cell and spatial transcriptomics, functional imaging, and
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mononuclear cell (PBMC) analysis and RNAseq, as well as whole slide images (WSI) and immunohistochemistry images on an OMERO online repository. With funding from Cancer Research Horizons, the data is being
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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