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work focused on extending methods for detecting the pose of an object (possibly occluded, even if only partially) held by a person to 360-degree robot vision, in line with mesh detection and
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of the world's 34 biodiversity hotspots. The Avoid-Reduce-Compensate sequence that the project owner, SNCF Réseau, must implement, aims to guarantee no net loss of biodiversity induced by the project
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diarylethenes, sensitive in the near infrared. The final target is to integrate them in synapses of artificial optical neuronic networks. Main tasks: • Synthesis and charaterization (NMR) of organic photochromic
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their structure. Small-angle X-ray scattering analysis (SAXS), already used others systems, has proven effective in this regard, providing quantitative information on the key parameters of a structured network in
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, theoretically grounded, and explainable. The research sits at the crossroads of quantum information science, tensor network theory, and generative modeling (transformers, diffusion models, etc.). Key research
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into district heating networks (DHN), and to study the architecture, sizing, and control strategies for its optimal integration into such networks. Currently, sensible heat storage remains the most widely used
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constituting a large national and international network of potential collaborators. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7164-SANMER-033/Candidater.aspx Requirements Research
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the synthesis of the nanowires and their assembly into networks (by soft chemistry), while the synthesis of the matrix (CVD deposition) will mainly be carried out by a PhD student already recruited
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(LMFL). Opportunity to work in an interdisciplinary environment combining micro-sensor technology, aerodynamics, and instrumentation. Networking: Integration into the FR TTM CNRS research federation and
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waves from shots). The postdoctoral researcher will use data acquired in Ecuador on a 3D network of ocean bottom seismometers and land stations. As part of Mission 1: 1. Implementation/adaptation