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techniques; Structural and functional characterization of interfaces and junctions, in particular through nanoscale analyses; Development, adaptation, and optimization of experimental methodologies
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Postdoctoral researcher (M/F). Modeling damage during earthquakes. Comparison with geophysical data.
(# ANR-22-CE01-0028) funded by the ANR. This two-year project (01/04/26 to 31/03/28) aims to explore the link between the dynamics of rupture on seismic faults and the structure of the damage zone
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-element high-entropy alloy based on recent literature, with the aim of making this grade ductile in tension. - Optimize ductility through (i) improved densification by SPS at lower temperatures by allowing
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) ● Developing multiplexed RNA-FISH assays for cell type identification ● Quantifying nuclear organization features (3D chromatin structure, topology, chromatin state) ● Analyzing imaging datasets using
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: • Developing and optimizing DGT passive samplers for simultaneous monitoring of PFAS, antibiotics, and biocides • Designing and conducting laboratory experiments (performance tests, kinetics, microcosms
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quantification of pigments and binders. The work will include the generation of simulated spectral data based on physical models, the training and optimization of machine learning models, and their validation
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(physics, Earth sciences, biology, chemistry, computer science, etc.). It addresses a wide range of experimental and theoretical research topics, such as elucidating the structure of materials and
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/rDA). • Optimizing reaction conditions. • Assessing the generality of ihDA/rDA sequences. • Translating reactions into flow chemistry for real-time NMR monitoring (in collaboration with ANR SOFTNMR
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and the endoplasmic reticulum. The project will combine approaches in cell biology, biochemistry, and advanced imaging. The candidate will contribute to the development and optimization of experimental
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, Mesp1, E-cadherin, N-cadherin). • Mechanical analysis of tissues in collaboration with biophysicists from the team 3. Development and optimization of protocols • Generation of transgenic lines