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by the El Niño phenomenon in the region. • Implementation of a hydrological model (rainfall-runoff model) to test hypotheses for identifying the vulnerability and resilience of the hydrological network
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Knowledge of mechanical design software (such as Solidworks, Catia or other CAD software) Ability to communicate orally and write test reports (project in conjunction with French-speaking industrialists
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particular skills on testing materials of civil engineering via triaxial, oedometric and simple-shear apparati are recommended. Basics of Digital Image Correlation techniques and competences in post-treatement
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of complexes by NMR, IR, UV-visible spectroscopies, XRD and all other appropriate techniques (main task) - Studies of the reactivity of the complexes : electrochemistry, substrates, catalytic tests (main task
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and objects that concern them, starting from the observation that there is incomplete knowledge of the mechanisms at work. More broadly, it will examine the political issues at stake in the governance
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of endothelial cells or the vascular system – You have experience in animal testing (Felasa B/C licence): tumor models, vascular characterization LanguagesENGLISHLevelGood Additional Information Benefits
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characterized by the same steps: 1. Understanding and construction of heavy and complex databases, of various origins, which must be co-located and projected on a common grid. 2. Tests of various models must then
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/ or in vivo animal models of epilepsy - Sleep, circadian and / or stress neurophysiology - Immunostaining - Experience in behavioural tests - Modelling of neural network dynamics In
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. The project is led by Heiko Schütt and will employ one PostDoc and one PhD student. About the role... You will develop new Bayesian methods to compare models to neural data. You will test the methods
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Inria, the French national research institute for the digital sciences | Montpellier, Languedoc Roussillon | France | 2 months ago
explainability techniques to analyze the textual component of the model, identifying how prompts influence predictions and determining the most influential features. Examine how different textual descriptions