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levels of the vascular network will be investigated. Complementary characterisation using X-ray tomography and environmental scanning electron microscopy may also be carried out on the Institute's
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family of single photon emit-ters in hBN with excellent properties in terms of brightness, coherence and reproducibility. These emitters can be locally created using an electron beam in a scanning electron
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width: discrete frequency comb ver-sus continuous spectrum, and the presence or absence of spectral dispersion. Added to this are kinetic effects (electron trapping, plasma wave broadening) and geometric
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the nanoparticle’s magnetic moment by exploiting the sensitivity of their excited state to the electronic and thermal surroundings. We will thus investigate how light could impact the magnetic properties at short ns
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 2 months ago
locomanipulation demonstrations will validate the prototype performance on two applications: outdoor high-speed galloping and flying-object catching. Where to apply Website https://jobs.inria.fr/public/classic/en
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from the cosmic microwave background and free electrons present in the Universe. This interaction, known as the Sunyaev-Zeldovich (SZ) effect, appears in two main forms: the thermal SZ effect, caused by
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 3 months ago
of the European Conference on Computer Vision (ECCV), pp. 349–367, 2024. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-10284 Requirements Skills/Qualifications Applicants should have
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7 Jul 2026 Job Information Organisation/Company Grenoble INP - Institute of Engineering Department Engineering Research Field Engineering » Computer engineering Researcher Profile Other Profession
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well as knowledge in analog and/or digital electronics. We also expect that the candidate will be a team-player, able to organize his.her own planning and work, and open to critical discussions about the project
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data processing descriptions or mathematical formulas. In contrast, combining LLMs with computer vision provides a more flexible framework for understanding and reproducing the computational pipelines