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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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Scene Understanding Detection and Identification of Objects (SSUDIO) project. The purpose of this project is to develop scene understanding from 3D scans of ships by applying machine learning/computer
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complexity of in vivo patient tumors. This project aims to overcome that limitation by extending our high-throughput metabolic fingerprinting platform into 3D cancer models such as spheroids and organoids. By
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the experimental design, data analysis, and dissemination of results (manuscript preparation, presentations, etc.), so a high level of written and spoken English is required. Where to apply Website https
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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 20 days ago
on the development and validation of biomaterials and smart medical devices using animal models and advanced 3D technologies Topics: Advanced biomaterials for tissue repair and regeneration Preclinical animal models
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Dipartimento di ingegneria industriale - Università degli Studi di Padova | Italy | about 1 month ago
of the 3D-printed clips; Analysis of the results Where to apply Website https://pica.cineca.it/unipd/ Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows
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interest in many sectors of application, particularly for the development of customised medical devices. Among the various additive manufacturing processes, 3D printing based on photopolymerisation reactions
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) Application and further development of deep learning methods for automated object recognition and classification in point clouds and 3D data Establishment of a data processing pipeline for the efficient
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Posting Details Student Title Classification Information Quick Link https://chapman.peopleadmin.com/postings/38848 Job Number SE169024 Position Information Department or Unit Name Grand Challenges