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Computer science laboratory of Le Mans Université (LIUM) | Laval, Pays de la Loire | France | 3 days ago
and support visual search strategies for objects in a virtual environment. The PhD focuses on: Adaptive generation of activities through approaches inspired by Bayesian methods, Exploitation
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interdependencies, trade-offs, and synergies between SDG-related indicators Contribute to the design and development of the Living Atlas platform such as data integration, dashboards, visual interfaces Explore new
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at Inria Bordeaux has several open PhD positions in human-computer interaction and information visualization. The first round of interviews will take place April 20–24; if you're interested, please contact
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produce and interpret dynamic visual signals. The successful candidate will contribute to experimental design, computational analysis of behavioral data, and the integration of biological insights with
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information encoding and computation in neocortical circuits. The successful candidate will lead an ambitious project on synaptic and circuit mechanisms of sensory processing in primary visual cortex (V1
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, that published e-books be available in a format accessible to people who cannot read visually. However, comic books, due to their visual and narrative complexity, have been granted a temporary exemption by ARCOM
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biology through single-crystal neutron diffraction techniques. This position focuses on visualizing critical hydrogen atoms in carbohydrate-binding proteins and their complexes using neutron diffraction
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information into a stable HD code anchored to visual landmarks. Neurons in different PrS layers have distinct targets, and we will be particularly interested in the intrinsic bursting neurons of layer 4, which
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, visual reasoning, conditional generation, assisted annotation, and multimodal representation learning. In addition to research activities, the successful candidate will be expected to play an active role
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 12 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