5 civil-engineering "Mathematics" positions in France

PhD Position F/M -- Campagne Doctorant -- Explainable Deep Learning

of this highly promising modern technology. Deep learning methods are highly effective when targeted and precisely utilized. Incorporating explainable mechanisms will thus strengthen the expertise of biomedical

Modelling the interaction between creeping snow and structures

of the applicant The candidate should hold a Master's degree and/or an Engineering diploma in the fields of applied mathematics or physics, mechanics, civil engineering, or numerical simulation. They must have a

Postdoctoral position in quantitative immunologie et hematologie (M/F)

myelopoiesis. • Impact of treatment like CAR-T on leukemic cell division. • Push the technology for single cell and spatial omics. We have an active collaboration with the lab of Ken Duffy, Boston

Modelling the interaction between creeping snow and structures in a context of climate change

school : IMEP2 (Univ. Grenoble Alps) Qualifications of the applicant The candidate should hold a Master's degree and/or an Engineering diploma in the fields of applied mathematics or physics, mechanics

Postdoctoral fellowship for the development of space-time and discontinuity-preserving acceleration-based Data-Driven Stress reconstruction method (M/F)

. (2014). Beyond Hopkinson's bar. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 372(2023), 20130195. [11] I. Bataev, S. Tanaka, Q. Zhou, D. Lazurenko