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quality, diversity, and biological relevance using standard metrics and expert review. Anonymised digital images from tissues in biobanks will be used to train generative models on university computing
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Manufacturing and/or AI Robotics. Focus areas include: yield/defect causal analysis and XAI; process-variation monitoring and root-cause analysis; intelligent scheduling/dispatching for WIP/throughput (multi
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-related transport phenomena all require precise knowledge of fluid flow dynamics. Advanced experimental methods such as Particle Image Velocimetry (PIV) and 3D Lagrangian Particle Tracking (LPT) provide
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proposal. This PhD will evaluate the efficacy and suitability of digital image collection and analysis for beach litter characterisation on heavily-littered coastlines, in partnership with community groups
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/offerta-formativa/dottorato/2025/computer-science About the project/work tasks: This position is part of: 19 PhD Fellowships available in Digital Endocrinology in the Marie Skłodowska-Curie Doctoral Network
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crystalline rocks) using 4D µCT imaging Establishing the role of deformation in particle remobilisation and preferential flow path creation that controls clogging patterns Developing predictive digital rock
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the research groups active at the KU Leuven Ghent Campus. This funding call is open to all EU and International applicants. Keywords: Digital Image Correlation, Experimental and Computational Mechanics
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 11 days ago
characterization of these devices as well as proof-of-concept prototype electronics that will be manufactured in more traditional solid-state processes. As part of this project, you will be expected to work closely
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about combining computational mechanics, medical imaging, and advanced design optimization to improve people’s lives? Do you want to help shape the next generation of personalized medical implants? Join
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experiments using MEA electrophysiology, live-cell imaging, and related techniques. You will study neuronal failure and recovery after metabolic stress in rodent and human iPSC-derived cultures, and evaluate