Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- CNRS
- Institut Pasteur
- CEA
- Grenoble INP - Institute of Engineering
- IMT Mines Ales
- Aix-Marseille Université
- ENS
- European Synchrotron Radiation Facility
- IRD Occitanie
- Le Mans Université
- Télécom Paris
- University of Lille
- University of Luxembourg
- Université Bourgogne Europe
- Université Côte d'Azur
- Université Grenoble Alpes
- Université Paris Cité
- Université Savoie Mont Blanc
- Université de Bordeaux / University of Bordeaux
- Université de Caen Normandie
- Université de Limoges
- Université de Reims Champagne Ardenne
- Université de Strasbourg
- 13 more »
- « less
-
Field
-
structuring generative models. Your main responsabilities: To carry out research missions in the field of computer graphics (CG) and machine learning (ML) To ensure supervision and tutoring missions
-
and 3D finite element modelling (COMSOL, CST) of the optical control process for materials. -Integration of the optimal compositions into simple test structures to directly evaluate electrical switching
-
truly interdisciplinary research environment. More broadly, this position is part of the Institut Hospitalo-Universitaire (IHU) reConnect, a new federative structure whose aim is to bring together all
-
intestine-on-chip models integrating multiple intestinal segments together with a functional enteric nervous system (ENS). The objective is to closely reproduce the structural, functional, and
-
and the HSM research unit. This work is part of the ECHO project, which focuses on understanding the eastern part of the Corbières karst. Assuming the construction of a rail tunnel to cross the eastern
-
. - Proficiency in research methods in the humanities and social sciences, particularly semi-structured interviews - Knowledge of press databases - Proficiency in analysing press corpora - A willingness to work in
-
(Swanson et al., 2020) and economic journals (Fišar et al., 2024) are increasingly adopting open science practices, their effectiveness remains partial due to structural limits. On the one hand, flawed
-
experience in large-scale structure simulations, working knowledge of applications of machine learning techniques in cosmology and/or astrophysics (in particular simulation-based inference), strong programming
-
to generate tissue compartmentalization, aiming at recapitulating a T cell zone dedicated to DC / T cell interactions and a B cell zone where germinal center-like structures may develop. In first intent, T cell
-
the problem intractable. However, in many systems the interactions are not random (they have some structure) and are often short-ranged, which allows to dramatically reduce the effective number of degrees