Sort by
Refine Your Search
-
on the development of advanced artificial intelligence and machine learning methods for genome interpretation, with a particular emphasis on modeling the relationship between genetic variation and phenotypic outcomes
-
). This postdoctoral research will directly contribute to the project by advancing methodological development in wall mapping and improving understanding of past uses of steep environments. The researcher will therefore
-
this case, the external neutron source that maintains the reactor core thermal power is generated by the interaction of a high-intensity proton beam with a spallation target. However, the design, development
-
, as well as to the development of a structured database generated from ab initio calculations and enriched through machine learning approaches. The objective is to develop predictive tools to analyze
-
of understanding cirrus clouds in climate studies. We are seeking postdoctoral researchers to contribute to our mission of advancing knowledge on how aerosols influence cirrus formation and their evolution, under
-
that of climate disruption, which calls for a systemic transformation of the economy toward sustainable development. This ecological transition relies on the commitment and behavioral changes of socio
-
, 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
-
gestures and multimodal speech. - Familiarity with multimodal speech processing software (ELAN, Praat, Anvil, or equivalent): development of comprehensive annotation templates/schemes (hierarchical
-
7130 CNRS/Collège de France/EHESS/EPHE) and the Centre d'Ecologie Fonctionnelle et Evolutive (UMR 5175 CNRS/Université Montpellier/IRD/EPHE), partners in the ANR ECOPATHS project on the ecology
-
, 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