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3D modelling. • Control the recording of artefacts and samples through the project's standardised system, including Special Finds, unique identifiers, context-based batches and linked photographic
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responsibilities: In READY-GUT we develop ready-to-use 3D hydrogel scaffolds for cell culture of intestinal models. The candidate will participate in the product validation and the route-to-market strategy
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include but are not limited to: Boor Digital Media Suite, 3D Digital Fabrication Lab, Wood Shop, Metal Shop (incl. gas and arc welding equipment and Foundry, 3D Design Classroom, Intermediate and Advance
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Dipartimento di Ingegneria dell'Informazione - Università degli studi di Padova | Italy | 3 months ago
efficiency of 3D reconstruction. Specifically, the project aims to: i) actively and efficiently reconstruct multiple dynamic targets even in unknown scenarios; ii) address the case of articulated objects
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both 2D and 3D models, for experimental studies. The ideal candidate will demonstrate a strong record of accomplishment in a relevant area of biomedical research, evidenced by first-author peer-reviewed
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, prototyping, or fabricating functional simulation models, trainers, or related physical prototypes. Hands-on aptitude with a range of fabrication techniques (e.g., 3D printing, molding/casting, basic machining
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of London, University College London, University of Cambridge, University of Glasgow, Heriot-Watt University, and Imperial College London and aims to deliver transformative advancements in 3D nanoscale
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area of Gaussian Process based Simultaneous Localisation and Mapping (SLAM) and recent advances in non-parametric, 3D environment modelling. We will assess the utility of these tools for map-building
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research and to drive in vitro drug target and mechanistic discovery efforts using 3D triple culture system based on iPSCs. The cell lines will be derived from participants of the Flemish Cognitive Compass
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strands. • Bespoke modelling of tumour metabolic function using 3D and 4D imaging data • Cancer patient risk prediction using machine learning (with experience in particular in radiomics and transcriptomics