2 forest "https:" PhD positions at CNRS

PhD candidate (M/F) : Mechanical correlative microscopy by nanoindentation for high-throughput microstructural characterizations

CNRS | Metz, Lorraine | France | 25 days ago

nanoindentation mapping. Materials Characterization, 216, 114244 [4] Dziri, A., Ammar, K., Forest, S., Proudhon, H., Sirvin, Q., Richeton, T., & Texier, D. (2025). Effect of oxygen content on elastic properties

(M/F) PhD Thesis: Thermoelectric materials by numerical methods and ML

CNRS | Montpellier, Languedoc Roussillon | France | 2 months ago

Starrydata2). The work will include the implementation of machine learning models (neural networks, random forests, SISSO), generative approaches for predicting crystal structures, the use of machine learning