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Field
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, imaging, and data processing. Activities will be mainly carried out at the BNIF platform, Building 50 of the Triolet campus, and will require strong autonomy, flexible organization, and a collaborative
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of manufacturing - characterise the sensitivity of these sensors and test their operation on an all-optical photoacoustic imaging system The postdoctoral fellowship will be carried out at the Fresnel Institute
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and its subcortical partners in exploration/exploitation behaviours. 1) Stereotaxy and implantation surgery (skull window, silicon probe, neuropixel) and viral infection. 2) Handling, habituation and
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thermochemical reactor process for heat storage, characterizing its behaviour and thermal performance. Post-doc Objectives: A prototype, representative in scale of the final system (several kW and several kWh
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movements by correlating Planetscope satellite images: testing, validation, and development of specific processing methods. This postdoctoral position is funded by the Labcom project. Catastrophic ground
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-read whole-genome sequencing data. Genome of Europe will operate in a federated analysis paradigm, with raw-datasets being held separately in different member states, hence the central opportunity
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according to their background and interests. Applicants should have strong quantitative and computational skills (e.g., text or image analysis, natural language processing, large-scale data methods) and a
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | about 1 month ago
continuous/discontinuous Galerkin spectral finite element solver for seismic wave simulation, with applications in subsurface imaging and CO₂ monitoring. The project combines the efficiency of continuous
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Astrophysics (MPO), Stellar and solar Physics, Signal and Image processing (Signal), Theory and Observation in Planetology (TOP) and Turbulence, Fluids and Plasma. It is the birthplace and remains a world leader
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récents en IA et dans ce que l'on appelle les modèles de fondation, permettant d'exploiter de grandes quantités de données non-étiquetées (texte, image, vidéo, etc.) pour apprendre des représentations qui