Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
), 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
-
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
-
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
-
features to behavior using GLMMs/Bayesian models; conduct sensitivity and robustness checks. * Method validation: benchmark alternative pipelines (filters, burst detectors, forward/inverse models); perform
-
to fit Ca profiles in olivine and calculate associated cooling rates, 2/ an analysis of uncertainty propagation for these models, and 3/ a global unified database of existing data that could be used
-
within the ATHENA project. Generative models will be guided by a fit assessment using communication developed by other partners between the generation models (usually in the form of a graph or a string
-
disease models. The project offers training at the crossroads of protein engineering, structural biology, and cancer biology, and will provide the candidate with a strong interdisciplinary skill set that is
-
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