Sort by
Refine Your Search
- 
                Listed
- 
                Category
- 
                Employer- CNRS
- CNRS - Institut Lumière Matière
- Nature Careers
- Ecole polytechnique
- European Synchrotron Radiation Facility
- IMT Nord Europe
- INSTITUT NATIONAL DES SCIENCES APPLIQUEES
- Institut Pasteur
- Institut de chimie des milieux et matériaux de Poitiers - Equipe SAMCat
- Nantes Université
- Universite de Montpellier
- University of Reims Champagne-Ardenne (URCA)
- Université Paris-Saclay GS Mathématiques
- Université Savoie Mont Blanc
- Vision Institute
- 5 more »
- « less
 
- 
                Field
- 
                
                
                to develop chiral metal nanoclusters, understand their chirality at the atomic level through a combination of advanced spectroscopic techniques and theoretical simulations, and apply them to relevant processes 
- 
                
                
                to lung inflammation and fibrosis. The student will combine structural biology, protein biochemistry, cell biology, and immunology to assess how these processes influence immune signaling proteins and their 
- 
                
                
                recruitment and secretion by the T4SS, combining four complementary approaches: Bioinformatic analysis of protein–protein interactions (PPIs), Microbiology (genetic cloning and functional secretion assays 
- 
                
                
                DHX9 domains, in combination with NMR, SANS and solvent contrast variation. You will join the D-Lab team within the BDCS group at ILL, Grenoble, France. The BDCS group is responsible for operating 
- 
                
                
                confirmed that different combinations of depth, rugosity, sea surface and bottom temperature, bottom flow speed and turbidity explain the different gorgonian's distribution. The objective of the present 
- 
                
                
                talented doctoral students to develop chiral metal nanoclusters, understand their chirality at the atomic level through a combination of advanced spectroscopic techniques and theoretical simulations, and 
- 
                
                
                of electrical topologies (AC, DC, three-phase) and will integrate both standard and atypical wear cases. On this basis, high-performance artificial intelligence models will be developed. By combining neural 
- 
                
                
                oscillation waveform. Additional tasks include developing low-order outer flow models and disseminating research through publications. The project will draw on combined expertise in simulations, optimisation 
- 
                
                
                their chirality at the atomic level through a combination of advanced spectroscopic techniques and theoretical simulations, and apply them to relevant processes in biomedicine and catalysis. Thanks to the synergy 
- 
                
                
                on food craving and health-related decision-making. To this purpose, we will use a combination of brain imaging, behavioral measures, and machine-learning techniques. Activities The successful candidate