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be to make explicit selections of the best astrometric sources and test their efficiency in real VLBI analysis. Following our preliminary tests, the selection of adapted sources could improve by a
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. For these reasons, it is hypothesised that the accessory chromosomes are key drivers for the evolution of pathogenicity in fungi. This project therefore aims to test if the two-speed genome model also applies
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performance. A key objective is to examine how different KG embedding techniques can facilitate complex query answering. These techniques vary in their representation spaces and in how they define relational
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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
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participate in in vitro/ex vivo testing. Supervision & Environment • Denys Nikolayev (IETR Rennes): expert in wireless bioelectronics and wave control in tissues • Simon Hemour (IMS Bordeaux): expert in RF
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candidate will be responsible for the full range of activities related to the development, testing, and evaluation of the learning models. They will also receive support from LOA experts for the execution
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• Composite manufacturing process and multi-instrumented mechanical testing Required profile: Master's degree/Engineer in Mechanical Engineering, Materials Mechanics. The candidate must have a taste for
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the ANR QUALAG project, co-supervised with ENES-CARRTEL, Saint-Étienne) that will test the effects of temperature and environmental conditions. - Growth rate estimation: photogrammetry using dedicated
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at each stage, this research will define appropriate design principles respectful of users' cognitive and emotional abilities and will produce a prototype to be tested and evaluated. Activities / Work plan