Sort by
Refine Your Search
-
12 Mar 2025 Job Information Organisation/Company CNRS Department Institut d'électronique et des technologies du numérique Research Field Engineering Physics Technology Researcher Profile Recognised
-
, going beyond the state of the art in science and technology. Two architectures will be explored, similar to silica fiber lasers - a conventional technology available only in infrared. These architectures
-
Post-doctorate position (M/F) : Exascale Port of a 3D Sparse PIC Simulation Code for Plasma Modeling
, vectorization, and GPU porting. - Investigate new programming models to achieve performance portability. - Analyze code performance on various recent CPU and GPU architectures. - Enhance software engineering
-
18 Feb 2025 Job Information Organisation/Company CNRS Department Laboratoire des technologies de la microélectronique Research Field Engineering Physics Technology Researcher Profile Recognised
-
25 Feb 2025 Job Information Organisation/Company CNRS Department Procédés et Ingénierie en Mécanique et Matériaux Research Field Engineering » Materials engineering Physics » Acoustics Researcher
-
provide a standardized integration layer from the Edge to the Cloud, constituting a technological reference enabling interconnection with Cloud providers and providing functions relating to cybersecurity
-
waveguides, we have developed a new paradigm for controlling micro-photonics systems based on the transition between optical states. We have particularly identified a specific architecture with potential
-
14 Feb 2025 Job Information Organisation/Company CNRS Department Laboratoire Hubert Curien Research Field Engineering Computer science Mathematics Researcher Profile Recognised Researcher (R2
-
11 Feb 2025 Job Information Organisation/Company CNRS Department Laboratoire des Composites ThermoStructuraux Research Field Engineering » Materials engineering Physics » Acoustics Researcher
-
previously unknown gene functions. The work will be primarily computational, focusing on the development of deep neural network model architectures and their training. It will involve extending the preliminary