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characterization of the material. - Establish and optimize experimental protocols. - Check the performance of the instruments. - Ensure the training and supervision of users. 2. Experimental characterization
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), whose objective is to extend the HLA-Epicheck model, originally developed within the framework of a PhD thesis, and to implement new deep learning approaches to assess donor–recipient compatibility in
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postdoctoral researcher position in theoretical cosmology. The position is dedicated to developing a robust and efficient framework that incorporates a broad range of neutrino and dark-matter models, assessing
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features to behavior using GLMMs/Bayesian models; conduct sensitivity and robustness checks. * Method validation: benchmark alternative pipelines (filters, burst detectors, forward/inverse models); perform
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datasets generated by our collaborators; ensure timely delivery to meet network/dynamic modeling needs. 1. Tissue & cellular phenotyping of intestinal ageing across life stages in vertebrate models
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using image analysis software already available at the LCTS. This will generate two types of computational domains: (i) porosity-calibrated images (i.e., images whose gray levels correspond to the local
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generated by our collaborators; ensure timely delivery to meet network/dynamic modeling needs. 1. Tissue phenotyping: histology on paraffin sections of intestine and distant tissues at different stages
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of scientific production typical of imperial expansionism that do not correspond to the laboratory, field, or expedition models. The surveys conducted by each of the 11 researchers bring together to enable a