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infection in mouse models and during virus transmission between the mosquito and the mammalian host. The ultimate goal is to identify host genes and mechanisms that drive variations in host-vector
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here is the prediction of the composition of communities of marine entities (zooplankton, marine snow particles, and coral reef fishes) from environmental data taken around the point of the biological
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decoherence - study of the influence of the initial composition of the electronic wave packet on the quantum yield of photo-conversion The work will be carried out within the CEISAM laboratory hosted by Nantes
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(microfermentation and quantification of enzyme activity at medium and high throughput, substrates analysis by spectroscopy, chemical composition, etc.) Proteomic and metabolomic analysis Literature review in
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ingredients for Earth-like magnetic fields on millennial time scales in dynamo models. The research activities are two-fold. First, the candidate will run numerical dynamo simulations with various combinations
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experiment. Finally, bioinformatics will be used to compare the sequences enriched in each experimental context (topology, addition of chemical modifications, medium composition). The most promising constructs
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. Tasks 1. Modeling and analysis of uncertainties The first phase of the research will focus on identifying, structuring, and integrating major sources of long-term uncertainty that influence strategic
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to specialize the memory management of several applications, including virtual machines. Running memory management policies in user space opens up new opportunities, particularly the integration of AI models
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influence parameters used in seismic modeling according to the Eurocodes. DYNATERRE adopts a multi-scale approach—from raw materials to the global behavior of the building. It is based on collaboration
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-analysis and modelling are particularly encouraged to apply. Where to apply E-mail marcello.solinas@univ-poitiers.fr Requirements Research FieldNeurosciencesEducation LevelPhD or equivalent Research