Sort by
Refine Your Search
-
17 Jan 2026 Job Information Organisation/Company CNRS Department Laboratoire ondes et matière d'Aquitaine Research Field Physics » Condensed matter properties Physics » Solid state physics Physics » Surface physics Researcher Profile First Stage Researcher (R1) Application Deadline 6 Feb 2026 -...
-
interactions with the working group dedicated to forest dynamics modelling within the MONITOR project, which brings together field ecologists and modelers. The PhD will be supervised by Romain Bertrand (CRBE
-
developments in natural language argumentation -including argument mining (AM) and argument retrieval (AR)- there still critical limitations to current natural language argumentation methods and models among
-
particular constraints and will be identical to those of the other researchers at the Observatory. The PhD thesis concerns the analytical and numerical modeling of galactic bars. The candidate will compare
-
site, the Institut Pprime is recruiting a Researcher as part of the INFERENCE project funded by the Agence Nationale de la Recherche (ANR) and Nouvelle Aquitaine Region to work on the Modeling and
-
AI researchers from ANITI, IMT and CERFACS, as well as with researchers/engineers in weather forecastings from the CNRM (Météo-France). Hybridization methods between neural networks and physical models
-
prediction models, and visualizing immense volumes of various types of data, generated by agri-robots and IoT devices. The most popular classes of autonomous agricultural devices include: weeding robots
-
combining machine learning and biophysical modelling to model embryo development from spatial transcriptomics data. Activities : - design of a new mathematical method - monitoring and study of publications
-
Starrydata2). The work will include the implementation of machine learning models (neural networks, random forests, SISSO), generative approaches for predicting crystal structures, the use of machine learning
-
. Argument(ation) mining, the new and rapidly growing area of Natural Language Processing (NLP) and computational models of argument, aims at the automatic recognition of argument structures in large resources