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An innovative non-mutant neoepitopes-based immunotherapy targeting immune-escaped tumors – NEOCOMBO
Although promising, immunotherapies targeting PD-1 are effective in only a fraction of cancer patients and the mechanisms associated with resistance are poorly elucidated. Indeed, tumors use additional pathways to evade CD8 T-cell recognition in particular alterations in peptide transporters TAP. We
Heat Management in the Ballistic Limit at the nanoscale – HANIBAL
The manipulation of heat fluxes is possible by acting on the transport of phonons at the nanoscale in thermal metamaterials. This is one of the major challenges of the current small-scale energy management. In order to demonstrate innovative effects involving large phonon mean-free-paths and long ph
MEchanism for LOw thermal conDuctivitY – MELODY
How low the thermal conductivity of a solid can be ? This question is of fundamental and technological interest. Designing materials with low thermal conductivity has become a crucial technological challenge for thermoelectric devices or thermal barrier applications. The MELODY project aims at solvi
EXAMAG - Exascale simulations of the magnetic universe – EXAMAG
Simulations of cosmic structure formation address multi-scale, multi-physics problems of vast proportions. These calculations are presently at the forefront of today's use of supercomputers, and are important scientific drivers for the future use of exaflop computing platforms. However, continued fu
Electrical characterization of ceramics during Cold Sintering Process – ELECSIR
The development of low-temperature densification methods represents a major advance in the shaping of materials that were previously impossible to obtain by other processes. They allow the preparation of multi-materials whose sintering temperatures, stability or chemical nature are not compatible wi
Membrane microdomain HIR proteins: control of iron uptake machinery and new functions in Arabidopsis – NUTRIR
The main objective of the NUTRIR project is to develop a new area of research aiming at better understanding the function of HIR proteins and membrane nanodomains in plants. The first objective is to: (i) characterize the small Arabidopsis HIR protein family (HIR1-HIR4) at the cellular level in t
Emulation techniques for the REduction, Sensitivity Analysis and INversion of models for subsurface hydrology – RESAIN
This project handles subsurface flow and reactive transport problems by addressing the four following methodological topics: (i) model uncertainty analysis, (ii) model sensitivity analysis, (iii) model reduction in the case of computationally expensive simulators and, (iv) inverse modeling. Two type
Compositional functions networks: adaptive learning for high-dimensional approximation and uncertainty quantification – COFNET
High-dimensional approximation tasks are ubiquitous in all areas of scientific computing and data science, including the solution of partial differential equations (PDEs), machine learning and uncertainty quantification (UQ). With the recent success of deep Neural Networks (NNs) and tree Tensor Netw
Enhaced oil recovery : from control of the interfaces to nanofluidic flows – ENCORE
Optimizing the efficiency of oil-recovery from existing fields will remain of upmost importance for the next 20-30 years, during the transition towards energies not based on fossil ressources. The aim of this project is to produce a profound advance in the understanding of the molecular mechanisms g
Uranium production by in situ recovery – ISR-U
In situ recovery is today the first mining extraction technique worldwide for uranium production. The technique has numerous advantages, including low production costs and a limited footprint on the surface. However, the exploitation is complicated by the large spatial variability of the concerned o
