85 phd-in-architecture-interior-design-built-environment Postdoctoral positions in France
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- Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO
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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 Working environment and context
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charge of the IMN experimental part of the ANR BiBOP project on electron microscopy and XPS spectroscopy under controlled illumination and environments. Perform structural, physicochemical, and optical
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Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO | Grenoble, Rhone Alpes | France | 7 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
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and for configurations of unknown random sources closer to operational conditions. This research work will be published in scientific journals. Methodology and plan of work The study has three
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to guideline analysis, the construction of simulated trials, and the feasibility assessment in French databases (SNDS, CONSTANCES, EDS-APHP). Activities : Contribute to the design of simulated trials (target
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Requested start date: 01/10/2025 Contract type: Post Doctoral Education: Doctoral (PhD) Experience : 1-5 years You hold a doctoral degree (obtained less than 3 years ago) with a specialization in numerical
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, and includes the potential to become a co-founder of Lightspring. We are looking for someone with complementary skills in photonics, optical design, numerical simulations of photonic circuits
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environments, which are influenced by different climatic, sedimentary, and diagenetic factors. The goal is to analyze carbon fluxes and its long-term storage in these sludges by identifying precipitation
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are shared across vehicle subsets and introduce structural dependencies in the optimization. 2. Robust optimization of fleet renewal strategies The second phase will consist in designing and comparing