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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | about 1 month ago
the Inria Manao team in Bordeaux. As part of the “CMN Numérique” program, which aims to standardize the production of 3D models and reuse them in various contexts (mediation, maintenance, research, etc
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. The project will then involve: - X-ray micro-tomography imaging and segmenting the resulting 3D images with AI-based tools already available in the team. - Characterizing the microstructure (binder distribution
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analyses, as well as the development and optimization of 3D cell culture models to be applied in nutrigenomic research as physiologically relevant systems for mechanistic investigations. Previous experience
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Responsibilities EE/CSE Makerspace: Assist students with their design projects (PCB design and milling, 3D modeling and printing, soldering, CNC mills, laser cutting). EE Labs: Trains students in effective use
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Gameplay prototyping Asset integration and optimization Experience contributing to a playable project 3D Modeling & Animation Skills Character or environment modeling UV mapping and texturing Rigging and
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organoid culture protocols, with a strong focus on patient-derived organoids and cancer organoids. Establishing robust 3D cell culture models, including optimization of culture media, extracellular matrix
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orthodontic appliances, virtual models, digital set-up, CAD/CAM and 3D printing technologies). Recent experience in teaching Dental Technology and a demonstrable interest in research and development in
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-based simulations of multicellular tissues in 3D. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for-recruitment-of-pdi-postdo… Requirements Research FieldPhysics » Computational
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spherical 3D convection models. The objective is to characterize subduction from its initiation to its fate into the mantle, in order to understand the links between subduction mechanics, its tomographic
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interdisciplinary projects of developing new cancer immunotherapy, using novel 3D tumor organoid models and 3D single-cell imaging. The incumbent(s) will learn cutting-edge techniques in immuno-oncology studies and