Sort by
Refine Your Search
-
is to learn and repeat a path using both electric sensing and underwater vision, combining their strengths to improve robustness and flexibility. Approach This PhD project draws inspiration from
-
hybrid nanoplatform by combining magnetic and fusogenic liposomes with extracellular vesicles. This approach aims to combine the biological properties of extracellular vesicles, particularly their natural
-
scale and the sample scale. - Establish links between microstructure and mechanical properties, by combining experimental and numerical approaches, with the aim of optimizing material performance. Within
-
. The PhD candidate will investigate the links between inflammatory signaling, cellular stress responses, senescence, and the maintenance of HSC function. The project will combine mouse models with cellular
-
investigate the impact of post-transcriptional modifications of transfer RNAs (tRNAs) on stress tolerance and adaptation in clinical strains of *Escherichia coli*. The project will combine experimental
-
implantable devices, combining: - Wireless communication using a backscatter-modulation architecture - Co-design of front-end electronics and miniature RF antennas for chronic implantation - Prototyping and
-
timing in the shoot apical meristem of plants. The researcher will combine biochemical methods (e.g., proximity labeling), cellular biology techniques (live-cell and tissue imaging, drug treatments, etc
-
benefit from a unique interdisciplinary environment combining the expertise of CNRS-ICMPE and CEA-NIMBE in polymer chemistry, soft matter, advanced characterization, and data-driven materials discovery
-
framework for the joint analysis of large-scale structure (LSS) and gamma-ray data. By combining these complementary probes of the same underlying matter distribution, the project aims to sharpen constraints
-
measurement campaigns on the PUMA beamline (SOLEIL synchrotron) and in the laboratory, combining synchrotron X-ray fluorescence and absorption spectroscopy (μXRF and μXAS) with hyper- and multi- -spectral