Teams

The Computational Earth Sciences (CES) group is a multidisciplinary team with different technical profiles that closely relates to all the other groups in the department. CES supports scientists in their daily work and provides a framework for the most efficient use of IT resources, specializing in HPC. At the same time, the group has different research lines related to profiling and optimization and porting Earth modeling codes toward Exascale computing. The group has links and collaborations ...

Team for general BY-COVID contributions

Background information

Task 5.2 aims to demonstrate how mobilisation of real-world population, health and care data across national borders can provide answers to policy-relevant research questions. Eventually, it aims to prototype a workflow that is standard for population health research. Here, the research question is approached by identifying a causal effect that allows to evaluate a public health intervention. As such, a methodology for approaching causal inference when conducting ...

Computational Algorithms for Protein Structures and Interactions - Inria, CNRS, University of Lorraine The CAPSID team develops algorithms and software to help study biological systems and phenomena from a structural point of view. In particular, the team aims to develop algorithms to facilitate and improve the 3D modeling of large multi-component bio-molecular machines.

The research group focuses on chemical data in the context of biological systems. The investigated areas include structural bioinformatics of proteins and the application of computational methods of molecular modeling for designing the structural activity of new small molecules for specific biological effects.Another focus of the group is the development and operation of chemical databases and tools. The MolMeDB database collects physicochemical data on interactions of small molecules with membranes ...