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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 12 days ago
12 Apr 2026 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Mathematics Researcher Profile Recognised
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sociotechnical systems investigate new concepts and develop methods for digital twins as dynamic decision infrastructure with human oversight design and implement scalable cyberphysical human systems for scenario
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, participatory methods, or public-interest design. Teaching or curriculum development experience in a university setting. Excellent facilitation, writing, and communication skills. Interest in digital tools
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the following areas will be considered: Microscopy development and applications: Design, construction and application of high-speed 3D microscopy methods including our SCAPE / light-sheet approaches, two-photon
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results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial
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Be part of the future of creativity support for professionals at Aalborg University! This interdisciplinary project investigates how generative AI can be incorporated into the building design and
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); A clear connection to one or more archaeological contexts; Demonstrates innovative application of digital tools and techniques to relevant archaeological remains. The project plan is to contain a
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—exhibit strong responsiveness to environmental stimuli such as solvent composition, temperature, light, or electric fields. In this project, we aim to exploit this responsiveness to design multi-layer
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related disciplines with experience in optics, computation and electronics. Responsibilities will include designing and implementing optical systems based on quantitative phase imaging with digital
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integrates neuroimaging, sleep measurement, digital phenotyping, electronic health record (EHR) data, and deep clinical phenotyping to identify predictors of symptom trajectories and functional outcomes in