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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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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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is to contribute to the design, development, and deployment of an advanced content moderation framework for immersive 3D virtual environments, such as Roblox and Minecraft. The research staff will play
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into operational decision‑support tools for farmers, in close collaboration with an industry partner. The project focuses on automated rumen‑fill assessment using 3D imaging, computer vision, and predictive
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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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: Development and demonstration of 3D-in vitro environment for of electric field interference neuronal simulation with self-organized networked electrode array Project tasks and objectives: The BRAINET is an EU
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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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-in-3d-stem-cell-derived-human-organ-models/t11589 Where to apply Website https://www.ceitec.eu/protein-in-cell-nmr-spectroscopy-in-3d-stem-cell-derived-… Requirements LanguagesENGLISHLevelGood
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