Search for a funded project
Deep Learning for Constraint Optimization – DELCO
This project aims at building on recent progress in game playing and deep reinforcement learning to design a new generation of more general constraint satisfaction and optimization solvers.
Prediction,reduction and study of damages impacting 3D weaving – PREDICTISS-3D
Studying and reducing damaging yarn/yarn interactions during the high density weaving of sensitive materials
SOft MAtter dynamics with Dlaunay-based Neighbours Search – SOMA-DNS
The SOMA-DNS project aims at developing new simulation algorithms using GPUs (graphics card processors) for colloidal suspensions. The consortium of this project gathers two research teams from Limoges, XLIM and IrCer, and a Chilean team specialized in GPU computing.
Electrochemically promoted tyrosine-click-chemistry for protein labelling – E-CLICK
Luminol derivatives provide a selective modification of proteins: A user-friendly eY-click approach for peptides and proteins bioconjugations
In situ microviscosity measurements in complex systems by using molecular rotors. – MicroVISCOTOR
The microrheology of complex systems faces significant challenges: 1) in situ measurements within confined systems; 2) on line measurements in dynamic microsystems, and 3) viscosity mapping at the nanoscale. <br />MICROVISCOTOR proposes o develop a cost-effective microfluidics device capable to measure and map on-line and in real-time spatially- and time-resolved microviscosities of complex fluids by using molecular rotors.
Real Analysis and Geometry – RAGE
Real Analysis and Geometry
Complex and nonlinear fluids of light – CONFOCAL
CONFOcaL is a theoretical project aiming to explore the properties of disordered fluids of light. Fluids of light constitute novel and flexible systems of effectively interacting photons that exhibit many fascinating properties of quantum gases. This topic falls in line with a strong scientific activity in the field of cold atomic gases, but it addresses these questions from the original perspective of optics.
Modeling hIerarchy between Cardiac descriptors with MAChine learning – MIC-MAC
Representation learning and in particular unsupervised learning enable knowledge discovery and risk stratification in medical databases, but need to solve key issues in terms of data integration. Data descriptors are numerous, can be high-dimensional and of heterogeneous types, and their combination is not trivial. MIC-MAC aims to substantially improve the analysis of medical images on these aspects.
Field testing an integrated quantum repeater node – InQuRe
118, 144003 (2021). 10. Babin, C. et al. arXiv2109.04737, Nat. Mater. to appear, (2021). 11. Bhaskar [...] (2020). 5. Michaels, C. P. et al. arXiv:2104.12619 (2021). 6. Nagy, R. et al. Phys. Rev. Appl. 9, 034022
Roles of cell adhesion and mechanics in cell and tissue polarization – POLCAM
Forward-backward polarization of single cells has been well described, but little is known about the coordinated polarization of cells within epithelial monolayers. Single cell polarization may emerge from a mechanosensitive transition of the actomyosin cytoskeleton. However, it was not clear how and to what extent this symmetry breaking is propagated in a monolayer of cells and the role played by cell-cell junctions.
