Sort by
Refine Your Search
-
device development, photocrosslinkable hydrogels, PRIMO 405 nm light-based photopatterning, advanced imaging, and technological integration. RESTORE will contribute its expertise in human adipose tissue
-
the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The project is based
-
, GC-MS/MS, and advanced NMR approaches. - **Activity 4:** Multivariate statistics and machine learning to identify microbial and chemical biomarkers of resilience and reveal the interactions linking
-
to correlate polymerisation kinetics, macromolecular architecture, morphological evolution and drug encapsulation mechanisms. Beyond experimental work, the project will integrate machine learning approaches
-
of investigating the relationships between microstructure, processing routes, and thermomechanical performance. The research will combine physics-based modelling and numerical simulations, including thermomechanical
-
ionized the intergalactic gas, forming bubbles that gradually expanded and then connected. IJCLab bases its recruitment policy on the promotion of equality, diversity, and inclusion. The student will use
-
integrated in silicon- based photonic cavities. The first objective is to analyze the optical fine structure and stability of their emission lines through photoluminescence excitation spectroscopy. The impact
-
low-carbon power-generating reactors based on laser fusion. In France, the Taranis project, selected in March 2024 as part of the France 2030 plan and led by the startup GenF, brings together a national
-
archaeological and historical contexts is also required. Additionally, the ability to perform *ad hoc* data processing (multivariate statistics, machine learning, etc.) is desirable. Proficiency in programming
-
structure and hydrogen migration pathways. Integrated Approach and Modeling Framework The project is based on a multiscale observation strategy that combines dense nodal seismic networks, distributed acoustic