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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 2 months ago
are natural languages with their own grammar, structure, and rich visual-expressive features. Unlike spoken languages, they convey meaning through a combination of hand movements, body posture, facial
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information formats are often fragmented, non-standardized, and not tailored to different user groups, hindering rapid localization and contextual use of instructions, especially in real‑world repair
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Doctoral Programme, see Section 6-1 of the PhD regulations for more information. You must have a master's degree or equivalent in computer science, artificial intelligence, machine learning, computer vision
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. We believe that an organization that is equal, diverse and gender-balanced is essential for us to achieve our goals. We strive to attract employees with different skills, life experiences and
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in-house design. Strong ability to use simulation software tools including finite difference time domain methods (FDTD), eigenmode expansion methods (EME), or finite-element methods (FEM), using tools
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interaction, geo-information science, or a related field, with experience in experimental research using virtual reality? If so, we have an exciting PhD opportunity for you! Spatial thinking plays a crucial
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into an existing computer model for sediment flux through submarine canyons; and validate the model on monitored submarine canyons. The responsibility of the PhD position advertised here will mainly involve
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the needs and well-being of building users at the core of system design. Listening experiments and perceptual studies will be conducted to better understand user preferences, individual differences, and the
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down submarine canyons; incorporate these mechanisms into an existing computer model for sediment flux through submarine canyons; and validate the model on monitored submarine canyons. The responsibility
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
(classes and properties) from different ontologies. At the data level, linking keys define sufficient conditions for identifying resources from different knowledge graphs. Thesis Objectives Digital twins