Sort by
Refine Your Search
-
Listed
-
Employer
- CNRS
- Inria, the French national research institute for the digital sciences
- Universite de Montpellier
- Aix-Marseille Université
- Nantes Université
- Université Savoie Mont Blanc
- Université de Caen Normandie
- BRGM
- CEA
- Centrale Lille Institut
- Ecole Normale Supérieure de Lyon
- Grenoble INP - Institute of Engineering
- IFP Energies nouvelles (IFPEN)
- IMT - Atlantique
- INRAE
- INSERM U1183
- INSTITUT NATIONAL DES SCIENCES APPLIQUEES
- Télécom SudParis
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- UNIVERSITE PARIS CITE
- Université Marie et Louis Pasteur
- 11 more »
- « less
-
Field
-
networks (5G and WiFi 7 and their evolutions) in terms of architecture, protocols, and optimization. These networks benefit from new technologies and approaches, such as virtualization and AI, to make them
-
-level decision-making, it does not address the strategic optimization of fleet-wide renewal plans under uncertainty—a critical need for organizations aiming to decarbonize cost-effectively and in
-
, so that it can be easily used in practice (fast optimization, embedded decision-making, online updating). 1. Design a lightweight statistical/probabilistic surrogate model, integrating: • an estimation
-
Interatomic Potentials) code for ternary compounds with variable composition with crystal structure optimization algorithms (evolutionary, random, etc.); - Application of the CSP DFT/MLIP methodology to various
-
includes both theoretical and experimental components. This fundamental research aims to open new perspectives on various topics: optimizing the stability of micro-mechanical systems, controlling the energy
-
of neuronal and vascular responses; Contribute to the instrumental optimization of the imaging system (detector configuration, illumination control, multi-camera synchronization); Analyze and interpret
-
optimizing optical configurations in the laboratory. The materials of interest for this study are energy-related systems (photovoltaics, (photo)catalysis, and batteries). Experiments will be carried out using
-
coordination complexes. Preparation and optimization of new molecular or hybrid materials. Structural and physico-chemical characterization (e.g., NMR, UV-Vis, IR, Raman, diffraction, electrochemistry, magnetic
-
synthesis experiments for the development of new pentafluorosulfanylation reagents. • Optimizing reaction methods to improve yields and selectivity. • Characterizing the obtained products using advanced
-
objectives of this postdoctoral project. Scientific Challenges and Objectives The main scientific bottlenecks to address include: Achieving optimal balance between growth rate and lipid accumulation under