Sort by
Refine Your Search
-
according to experience. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/IRL3218-GUICAR-009/Candidater.aspx Requirements Research FieldEngineeringEducation LevelPhD or equivalent Research
-
modeling and simulation, and statistical inference (lead by mathematicians and biologists) - The recruited postdoc will be asked to work in the labs on a daily basis. - The recruited postdoc will be expected
-
electrogravimetric response. To do this, we will implement a multi-stage approach, combining the development of model electroactive materials, their physico-chemical characterisation, and the advanced exploitation
-
' personal values and the demands of their job (work-values fit). Langstedt (2021) studied the professional values (based on Schwartz's model, 2006) of more than 32,000 European employees across 126
-
with experts in climate modeling, geosciences and in renewable energy development have been set-up to respond to these societal issues. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre
-
conductivity) of the different constituents is essential to supply material data to the digital models used to design industrial parts, and to understand their behavior under mechanical, environmental, and
-
experiments. This work will be conducted as part of a competitive grant obtained by a consortium bringing together French teams with complementary neuro-oncology models, tools, and expertise, including cancer
-
-machines and nano-robots as a drug delivery vehicles. As a core research activities, the postdoc candidate activities are the: - Design and in silico modeling of DNA origami nanostructures with high
-
of assemblies in the developing and adult CA1 region. It also involves working with Dr. Fontolan to develop a computational model that explains the benefits of developmental constraints on the organization
-
mathematics. It hosts activities of two second-year masters, which represent around one hundred students. Its areas of research cover analysis, modeling, and high-performance scientific computing for a variety