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on the end-to-end development of anatomical 3D models that support clinical care, medical education, research, and product development within the BMDC. Its primary purpose is to transform medical imaging data
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letter with your application. Describe a deep learning project you have executed, ideally involving 3D image analysis, inverse problems, or physics-informed modeling. Cryo-EM/ET and computational
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Fundación para la Investigación Biomédica del Hospital Gregorio Marañón (FIBHGM) | Spain | about 18 hours ago
Engineering – with an Official University Master’s Degree Where to apply Website https://www.iisgm.com/ofertas-de-empleo/ Requirements Research FieldOtherEducation LevelMaster Degree or equivalent Skills
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executed, ideally involving 3D image analysis, inverse problems, or physics-informed modeling. Cryo-EM/ET and computational structural biology projects are especially relevant. Discuss results, limitations
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détection d'anomalies. L'application clinique concerne le suivi longitudinal par échographie 3D du développement cérébral chez des enfants prématurés. Le projet s'appuie sur une base de données multicentrique
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the available data are sufficient and of adequate quality, construct a three-dimensional velocity model to ensure the consistency and conversion of the interpreted data for the creation of the 3D geological model
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for digital twin: 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
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, including approaches based on immunotherapy and oncolytic viruses; development and application of advanced experimental models, including 3D cultures, organoids, and in vivo models; integration of multi-omic
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courses in one or more areas such as digital painting and drawing, character design and animation, virtual environment design, interactive media, 3D modelling and animation, digital assets construction
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/scholarship agreement: 1 year with the possibility of extension Project leader: Przemysław Spurek Project title: Effective rendering of 3D objects using Gaussian Splatting in an Augmented Reality environment