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resolution. Bioinformatics: Analyzing complex long-read sequencing datasets to identify viral isoforms, detect mutations, and model RNA structures using established and custom pipelines. Molecular virology
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, cell culture, structural modelling and optogenetics Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8197-VALHER-211/Candidater.aspx Requirements Research FieldNeurosciencesEducation
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relevant therapeutic strategy in bronchopulmonary cancers. To assess the therapeutic potential and renal safety of this approach, we propose to evaluate the pharmacological effects of ASOs in a mouse model
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implementing models that integrate ecological dynamics, species traits, phylogenetic trees, and economic discounting; ● Devising Bayesian or POMDP frameworks to handle uncertainty about species interactions
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) To develop Deep Learning algorithms to significantly speed up probabilistic inference algorithms of current spatial birth-death models 2) To incorporate fossil stratigraphic and spatial information into a new
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silicon waveguides with a nanometric core. This work will include the development and optimization of simulation tools for the design of these waveguides, combining numerical results with simplified models
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is to provide the most **informative** samples (not just the most probable) to facilitate identification and enhance user experience. - **Theoretical Model Improvement:** Understanding a sample's
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of the M3i unit UPR9022 at IBMC, “Models of innate immunity in insects” at the Institute of Molecular and Cellular Biology (IBMC). Our team studies the molecular basis underlying interactions between
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of numerical ice shelf models has recently been developed to study, among other things, the realistic behaviour of the dynamics of a floe assembly, based on a granular approach. The purpose
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these results to initiate a model assessing the potential impacts of the mussel on the functioning of Lake Geneva. Most of the project team is based in Thonon-les-Bains at INRAe's hydrobiological station. The PhD