Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- CNRS
- Grenoble INP - Institute of Engineering
- Inria, the French national research institute for the digital sciences
- Universite de Montpellier
- IMT Nord Europe
- INSA Rouen Normandie
- Institut Pasteur
- Sorbonne Université
- Télécom Paris
- University of Luxembourg
- Université Bourgogne Europe
- Université Côte d'Azur
- Université Savoie Mont Blanc
- Université de Bordeaux / University of Bordeaux
- Université de Limoges
- Université de Reims Champagne Ardenne
- 6 more »
- « less
-
Field
-
particular, the postdoctoral fellow will work on three complementary areas: - Development and optimization of imaging analysis protocols Improvement of hyperspectral and multispectral photoluminescence (HMSPL
-
investigate out-of-equilibrium dynamics in high-dimensional disordered systems (including models relevant to machine learning and optimization) by characterizing the fixed points (metastable states, attractors
-
for developing and optimizing plasma-based functionalization processes for ferrimagnetic nanoparticles. The successful candidate will be responsible for investigating the relationships between plasma parameters
-
to develop, optimize and apply advanced mass spectrometry approaches for the structural and molecular characterization of ARDCs, and to analyze and interpret the resulting data. - Develop and optimize mass
-
with national quantum strategies, such as Canada's National Quantum Strategy. The recruited candidate will participate in a Franco-Canadian collaboration focused on the study and optimization
-
of studying and optimizing the microstructural and mechanical properties of granular materials bonded by a solidified foam, within the framework of the ANR project BONDINGFOAM. This mission is structured around
-
journals and presentations at conferences. - Collaboration with interdisciplinary research teams as part of the CERTAINTY project. - Optimization and documentation of modeling configurations for future
-
interaction research. The postdoctoral researcher will contribute to the design and optimization of biomaterials, their biological characterization and the functional validation of the developed models
-
, acceleration, algorithms for optimal transport or generative AI). A good knowledge of Python programming (for AI, optimization) is highly desirable. Website for additional job details https://emploi.cnrs.fr
-
optimize protocols for chemical synthesis and electrochemical functionalization of porphyrin macrocycles Synthesize porphyrin-based materials by electropolymerization Participate in the installation of a new