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AI systems for real-time 3D mapping on compact, low-power devices. The project will combine optical sensing, event-based vision, and radio-frequency (RF) data with advanced AI to build robust mapping
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photolithography, 3D printing and multiphoton lithography, together with innovative biomaterials. These models will be used to investigate, through advanced microscopy and quantitative image analysis, how
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of a locally calibrated fire spread model that accounts for land management and design scenarios (PhD 1) - the generation of near-real-time, high-resolution maps of fuel loads, fuel moisture
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these analysis methods to highly informative multimodal microscopy data and develop techniques to integrate correlated structural and molecular analysis into the natural 3D tissue space. This integration will
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), Computer Science (Machine learning, Efficient Algorithms and High Performance Computing), and Physics (Image Formation Modelling). Your project is part of the DUAL-IMPACT project, which focuses on the development
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an indication of the potential leak location. Based on the previous research works, Leak-scan proposes to use 3D GPR data to optimize the detection process powered by AI techniques. Its objectives contain (1
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to address key experimental and computational challenges currently limiting the clinical translation of spatial biology. By integrating multi-omics approaches, enabling the transition from 2D to 3D tissue
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contribute to the development of predictive human in vitro models for ageing research while providing robust alternatives to animal experimentation. Where to apply Website https://emploi.cnrs.fr/Offres
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) project MicroMan4Health (website: https://www.microman4health.eu/ ), Data-Centric Micromanufacturing Platform Towards Added Value in the Health Sector. The shift from process-centric to data-centric
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/en/jobs/362075/phd-position-cfd-fem-modelling-… Requirements Additional Information Website for additional job details https://www.academictransfer.com/362075/ Work Location(s) Number of offers