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of error-controlled biomechanical models in SOFA / FEniCSx / SOniCS for real-time use on AR devices Design of Bayesian neural-network surrogates and graph-based models for tissue deformation and brain shift
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change, deforestation/fire spread tracking and combining multimodal datasets for satellite and ground based agriculture crop mapping) or visualising complex astronomical datasets including using AR and VR
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us as soon as possible. Keywords: AR/XR, human-computer interaction, information visualization, data storytelling, geospatial data, graphical perception, cognitive psychology, social cognition
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defines the basic properties and differences of VR/AR, describes their advantages and disadvantages, as well as their practical use in industry. The doctoral student will design three-dimensional models
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deriving variables of interest from the collected data. For example, the linking of the municipality’s geographical data with major national databases (ATMO, INSEE, ARS) will be required in order to collect
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effectively to human operators, with an emphasis on immersive visualization and AR/VR-supported inspection and training workflows. An important component of the PhD research involves studying how users interact
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of the Internet-of-Things (IoT). Where to apply Website https://www.academictransfer.com/en/jobs/360184/phd-in-adaptive-connectivity-ar… Requirements Specific Requirements A master’s degree in
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to create 3D models of organs and intra-operative surgical videos. The candidate will develop surgical planning and implement new technologies for its integration as VR/AR assistive platform. The research
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assessment of 3 articles to be provided by the candidate, PA = up to 100 points. AR corresponds to the assessment of applied or practice-based research activities in data science (machine learning) or advanced
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are validated on mock-ups and artworks, showcased via AR exhibits at partner museums, and shared openly (data, software, DTs) through European platforms. The Centre for Research and Restoration of the Museums