75 phd-in-architecture-interior-design-built-environment Postdoctoral research jobs in France
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- Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO
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for the modulation of their optical properties under an applied voltage. The EC- LIPSE projet concerns the eco-design and development of innovative sustainable methods for the fabrication of efficient optically active
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. Benefiting from a rich multidisciplinary environment, the team is hosted within the “RNA” research unit (CNRS unit 9002 “RNA Architecture and Reactivity”). This unit brings together 12 research groups (nearly
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Description of the offer : We are opening two positions in the field of “Metallic and Oxide Materials for Orbitronics and Magnonics” at Institut Néel, CNRS, Grenoble The first position (PhD
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The successful candidate will be responsible for: 1. Develop the numerical and analytical tools required to design these tunable random architectures and predict the mechanical behavior
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Infrastructure? No Offer Description The postdoctoral researcher will contribute to the ANR-funded Pi-CANTHERM project, which aims to design, model, and predict the performance of new n‑type organic thermoelectric
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· Innovative infrastructures and exceptional labs occupying more than 5,000 square metres, including innovations in all that we do · An environment encouraging curiosity, innovation and entrepreneurship
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 4 days ago
interface between quantum information and cryptography. The team is part of a strong academic environment within the broader Paris ecosystem for quantum science. This position will be funded by the “Bosonic
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, willingness to learn, and strong listening skills. Passionate about innovation, with expertise in Linux development (Linux on Rail is a plus) and strong persuasive abilities. A PhD in Operating Systems or a
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Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO | Grenoble, Rhone Alpes | France | 5 days ago
precision and treatment decisions. Within a collaborative project involving researchers, clinicians, and industry partners, the team has developed innovative deep learning–based segmentation methods and built
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of uncovering micro- and nanoscale deformation mechanisms of cells within their native tissue environments, under both healthy and pathological conditions (e.g., osteoarthritis, inflammation).Experimental data