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Representational Similarity Analysis, and models development. - Fluent in open-source code development with Git. - Scientific rigor, organizational skills, ability to prioritize and restructure the hierarchy
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to unravel the atmospheric importance of this interfacial chemistry by means of (i) laboratory-based investigations, (ii) field observations and (iii) modelling. These activities will take place in the frame
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description The unit's main areas of focus include: (i) Assessing the integrity of natural and engineered barriers (through modeling, experimentation, and monitoring), (ii) Determining the impacts of subsurface
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) and Aurélien Quiquet from the Laboratoire des Sciences du Climat et Environnement (LSCE), an expert of the GRISLI model, in interaction with the PhD student on the ANR Delta project (coordinated by Y
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. Analysis of experimental characterization will be assisted by numerical simulations using in-house multiscale models of solidification. Main Activities Design and development of experiments. Characterization
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results and absence of an explanatory condition) taken as a model of medically unexplained symptoms in adulthood. Analyses will be conducted using data from the French CONSTANCES population-based cohort
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Strong understanding of causality concepts, biases, randomized trials, and trial emulation (target trial emulation) Familiarity with standardized data models (e.g., OMOP-CDM) Genuine interest in applied
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cycle progression in a preclinical model. Gut. 2022;71(11). Lesur A, Schmit PO, Bernardin F, et al. Highly Multiplexed Targeted Proteomics Acquisition on a TIMS-QTOF. Anal Chem. 2021;93(3) Key Skills
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particular, the research project will focus on inferring trajectories from spatial transcriptomics data modelling at the same time the cells evolution in gene expression and in space. Required skills : We