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from an interstellar perspective; - Write analysis reports, process and interpret data; - Promote the work in scientific publications. Host laboratory: UMR8523 PhLAM (CNRS - University of Lille): Physics
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applications (https://dcm.univ-grenoble-alpes.fr/research/ingenierie-et-interactions-… ). The candidate will be based Grenoble, with secondments in other laboratories of the network. Grenoble is the largest city
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data, focusing in particular on the quality of Level 3 soil moisture data from the Centre Aval de Traitement des Données SMOS - Radiative transfer model in passive microwave - Uncertainty analysis
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skills in general and a taste for meticulousness are essential. In parallel, interest for soft matter concepts and modelling will be of help to interpret the data. Experience in data analysis (including
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. The other objective of the proposed work is to carry out international comparisons, with academic work taking place in parallel in several laboratories around the world. The various topics for analysis will
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cognitive science; they will be able to design and run independent empirical research, and have experience in data analysis, conducting behavioral experiments, as well as experiments in cognitive neuroscience
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provide the time-to-failure of each individual item of interest. These limitations represent major scientific challenges. The modeling approach based on physics-of-failure analysis has greatly contributed
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. The candidate will also compute local strain tensors and construct time-resolved strain maps. A central task will be the analysis of displacements and strain fluctuations: these will be statistically
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, formulation and characterisation with regards to its physico-chemical behaviour (mineral analysis or mechanical and durability analysis). Knowledge or appreciation on modelling software are a need. The