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the binder uniformly at grain contacts in order to create cohesive binder bridges. The postdoctoral project is part of the BONDINGFOAM ANR project, which investigates complex foams—liquids containing a binding
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group is currently composed by 10 persons: 3 Research Directors (permanent staff), 3 engineers (permanent staff), 2 postdoctoral researchers, and 5 PhD fellows. Over the last years, the group has
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the fiber-fiber bonds mechanics using physical and chemical processing routes. The recruited postdoctoral researcher will contribute to this project. She/He will be in charge of (i) characterizing
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-based and/or learning-based motion generation for robots (particularly aerial drones). - Development: Proven experience and proficiency in C++ and Python. - Specific Knowledge: Prior knowledge of event
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field) and ground-based (radio) data - Use of various software codes: (i) radio emission simulation code, (ii) solar wind propagation code. - Development of software (preferably in Python) for data
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(interactive phylogenetic trees, Sankey diagrams). Report generation and statistical analysis • Statistical analysis of viral abundances (Wilcoxon, ANOVA), regression models (R, Python: statsmodels, scikit-learn
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of the CNRS and the University of Lyon 1. With around 100 staff from the CNRS and the higher education sector, and a similar number of student interns, postdoctoral researchers and visiting researchers, it is
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University joint research unit) is recruiting a postdoctoral researcher for an 18-month contract. The successful candidate will be tasked with analysing habitability, a topic at the heart of the PEPR TRANSFORM
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program initiated nearly a decade ago within our research group on the total synthesis of Securinega alkaloids. The aim of this postdoctoral project is to develop a concise and efficient synthetic approach
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languages commonly used in the scientific environment (especially R, Python) would be an asset. Most of the work will be carried out in the laboratory at the LAPA facilities on the CEA Saclay site. Field