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of the institute, including the website, digital workshop, and internal processes. Your Profile Artistic, scientific and technical skills in the field of architecture and new media and visual languages Special
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 20 days ago
/PhD_Thesis_ENACT_proposal_2026.pdf Context: Landmark detection, description and matching is the cornerstone of autonomous visual localization systems deployed in unknown environments. While most widely-adopted and accurate
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. The candidate should have strong mathematical skills and experience in machine learning, programming, and the analysis of visual data. Furthermore, you are able to work with a long-term perspective and drive
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, muscles are specialized to meet distinct functional demands such as posture, locomotion, breathing and speech. Our visual experience depends on the activity of extraocular muscles (EOMs), the most
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developing a multimodal sensing and inference framework that can run on compact AI edge hardware while remaining reliable in complex, contested, or visually degraded environments. Aim You will design, build
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biomarkers and patient cohorts Evaluation, analysis, and visualization of data Documentation of laboratory work Collaboration with project partners and regular presentation of results Your profile: M.Sc
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Generate ultrasound with light, and use it to visualize properties
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to empower younger generations to make art and culture their own. It does so by applying research methods from museum studies, psychology and educational sciences, and visual and material culture. This project
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objects that are subject to physical laws. In the practical part, he will propose a visualization, or expand the existing environment, of selected production technology from the real world in order to
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microscopy) MALDI MSI, laser microdissection MS, and LC-MS analyses to identify metabolite, lipid, and protein profiles in murine tissue and blood Evaluation, analysis, and visualization of data Documentation