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project is two-fold. First objective is to test if the explanatory variables are robust to the SDM approach, testing a suite of alternative correlative statistical models such as RANDOM forest, GAM
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-Performance Computing for Exascale" contributes to the design and development of numerical methods and software components that will equip future European Exascale and post-Exascale machines. This program is
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platform at GPM. The activities will be : - Define, set-up and test the experimental protocols for the 2D and 3D investigation of hybrid Ga-oxide/zeolite beam-sensitive materials, in terms of data
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analysis and software skills (python and astropy) • teamwork abilities • fluent in English • Experience in data analysis in a neutrino experiment and in astronomy analysis in X-ray/gamma-ray observatories
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constructs for preclinical testing. • Perform cellular assays of influenza virus function, and ex vivo assays on bronchial epithelial tissue, in collaboration with project partners. • Collaborate with project
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techniques (electrophoresis, fluorescence, mass spectrometry, etc.) Implementation of enzyme activity tests Drafting of progress reports This project will be carried out at CERMAV (UPR CNRS 5301) within