Sort by
Refine Your Search
-
researchers. Develop new sensing functionalities based on the ultra-stable laser stations of REFIMEVE. * Design and perform optical-fiber-based measurement experiments. * Manipulate the phase of ultra-stable
-
design and vacuum technology. Electronics and instrumentation. Experience with laser systems and optical setups. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR8552-THIJAC-001
-
The successful candidate will contribute to the following activities: • Design and architecture of a microwave instrument in compliance with ESA technical requirements and specifications. • Selection and
-
collaborative research project on the topic of neuromorphic photonics using organic materials. Research activities include: - Design and modeling of integrated photonic components using electromagnetic simulation
-
. The postdoctoral researcher will: - design and conduct molecular, cellular, biochemical, and biophysical experiments; - investigate protein interactions mediated by intrinsically disordered regions and short linear
-
(Label of Excellence - 00180410, Normandy Region) which aims to develop a new perspective on interfacial interactions for a tailored design of porous materials. This project aims to apply and combine
-
secondary ion mass spectrometry (SIMS), with the support of the engineers from the C2N technological platform. - design and fabrication of superconducting nanowires, taking advantage of the nanofabrication
-
design workflows for nanoporous carbon electrodes for sodium-ion batteries. The objective is to accelerate the exploration of virtual carbons with varied microstructures by combining numerical structure
-
(National Center for Scientific Research), which holds the HR Excellence in Research designation, is one of the world's largest public multidisciplinary research organizations. The IGBMC (Institute
-
for neuromorphic devices based on the dynamics of magnetic skyrmions. The main objective is to use the equilibrium propagation algorithm — EqProp — to design local learning rules adapted to skyrmionic systems