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models). - Design of mechanical prototypes in 3D using tools such as AutoCad, SolidWorks, or CypeCad. Professional experience (35%): Participation in research projects, management, team selection
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 14 days ago
modules leveraging deep learning for classical problems such as segmentation and 3D object tracking interfacing machine learning code and the robot using ROS2 contributing to the creation of datasets
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Integrated 3D Surface and Below-Surface Models”, ref. 3DURBs/I&D+i/IPLeiria/2025, financed by IPLeiria in the following terms: . SCIENTIFIC AREA: Civil Engineering, Territory Planning and Management
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preparation, Committed to personal development and updating of knowledge and skills, Hands-on experience in work with genetic mouse models, organoids, live cell imaging, 3D immunofluorescence will be viewed
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with NeRF, Gaussian Splatting, or other neural rendering models. Knowledge of 3D reconstruction pipelines such as photogrammetry, structure-from-motion (SfM), or multi-view stereo (MVS). Interest in
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viable product and using customer discovery to validate product-market fit. Work will include prototyping elements for 3D printing and preparing elements using a concrete mix. We also expect to model/use a
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: 3D model learning, prediction models from imaging and molecular data, model-based simulation coupling, and uncertainty-aware outputs for lab/clinical validation. Work with 3D datasets, time-series
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carbon materials by stereolithography, including experimental validation of predictive models and production of materials with controlled textural properties: a) Systematic bibliographic survey on 3D