Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- CNRS
- Inria, the French national research institute for the digital sciences
- Nature Careers
- Arts et Métiers Institute of Technology (ENSAM)
- Ecole polytechnique
- Grenoble INP - Institute of Engineering
- IMT Nord Europe
- Universite de Montpellier
- University of Paris-Saclay
- Université Paris-Saclay (UPS)
- Université Paris-Saclay GS Mathématiques
- École nationale des ponts et chaussées
- 2 more »
- « less
-
Field
-
approaches to avoid costly design and fabrication cycles for the optimization of these circuits are possible, in particular the use of Look-Up-Table (LUT)-based techniques that exploit the characterization
-
influence helps detect labeling errors or prioritize unlabeled images, optimizing the learning algorithm and service quality. The doctoral student will carry out their work at IMAG (UMR of Mathematics) and
-
of these materials and structures. This approach enhances both predictive simulation and inverse design strategies, optimizing the composition and arrangement of materials in the 3D design space. Within
-
, extinctions, and environmental change; ● Running simulations and scenario analyses to explore how different discounting rules or time preferences shift optimal conservation choices; ● Fitting models
-
requires fundamental and applied research for their optimization, better understanding and industrialization. The project aims to develop and characterize new “reactive” hydrophilic and lipophilic DES
-
controlled power electronics to optimize the overall efficiency of electromechanical conversion. Ultimately, the system will be integrated into two thermal energy conversion cycles: a thermochemical cycle and
-
. Brinkmann) • Ink formulation and printing process optimization: IETR Rennes (Maxime Harnois, Emanuel Jacques and Fabien LUCAS) The research will focus on: • Formulating and optimizing dopant inks for printed
-
prospects for improving energy efficiency and decentralization (adaptation to local energy sources). There is no universally optimal cycle; optimality depends on precise specifications defining the objectives
-
and optimize specific functions. The ICMCB carries out fundamental research on model materials and/or materials with potential applications. The ICMCB is a UMR with an average of 280 agents (permanent
-
mechanical motion into electricity; - An intelligent electronic control system, enabling optimized regulation of the thermodynamic cycle. Within the CALIFORCE3 framework, the REMLA system will be integrated