326 evolution "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "St" "University of St" positions at CNRS
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abundant protein on Earth. Our goal will be to compute the free energy barrier for the wild-type and for mutants obtained through directed evolution,4 aiming at providing chemical insights in these recent
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rely on the development of models integrating different data sources, initially based on data simulations, consistent with the data sets that are actually available or planned for acquisition, as
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” team. Website: https://cermav.cnrs.fr/en/equipe/physico-chemistry-and-self-assembly-of… Team Leader: R. Borsali The successful candidate will be responsible for synthesizing glycopolymers based
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process & fluid optimization -- Development of a multi-objective optimization methodology to simultaneously determine the optimal cycle architecture, its operating parameters, and the most suitable working
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modeling with deep learning for the analysis of hyperspectral imaging data. The researcher will be responsible for the design and development of numerical models, including neural network architectures
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conditions such as cancer, yet the underlying mechanisms remain poorly understood. Understanding how disruptions in these processes contribute to cancer development and cell fate decisions is a central
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) is required. More generally, we are looking for an open-minded candidate with an interest in the ecology and evolution of emerging pathogens. Website for additional job details https://emploi.cnrs.fr
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partners specialized in the synthesis of POSS cages, the characterization of porous materials, and molecular modeling. The reduction of carbon dioxide (CO₂) emissions and the development of clean energy
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, resilience and evolution of marine life to develop solid theories and predictive models of the relationships between marine biodiversity and ecosystem functions, which will in turn lead to improved economic
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, the postdoctoral researcher will be responsible for contributing to the development of advanced methodologies for predicting crystal structures (CSP) based solely on their chemical composition and atomistic modeling