305 evolution "https:" "https:" "https:" "https:" "https:" "University of St" "St" positions at CNRS in France
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
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
-
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
-
/InstituteInstitut de planétologie et d'astrophysique de GrenobleCountryFranceCityST MARTIN D HERESGeofield Contact City ST MARTIN D HERES Website http://ipag.osug.fr/ STATUS: EXPIRED X (formerly Twitter) Facebook
-
. The work will be primarily computational, focusing on the development of deep neural network model architectures and their training. It will involve extending the preliminary results we have already obtained
-
Ingénierie, Matériaux, ProcédésCountryFranceCityST MARTIN D HERESGeofield Contact City ST MARTIN D HERES Website http://simap.grenoble-inp.fr/ STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp
-
/Default.aspx Work Location(s) Number of offers available1Company/InstituteLaboratoire des Sciences du Climat et de l'EnvironnementCountryFranceCityST AUBIN Contact City ST AUBIN Website http://www.lsce.ipsl.fr
-
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
-
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
-
) 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
-
, 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