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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 14 days ago
developed an in situ data processing approach, called Deisa, relying on Dask, a Python environment for distributed tasks. Dask defines tasks that are executed asynchronously on workers once their input data
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that combine molecular biology technologies and bioinformatics algorithms to assemble, annotate, and compare genomes. The METAVIRAL project aims to develop and evaluate a surveillance system based on clinical
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their potential impact. The aim of this thesis is to develop automated methods for the real-time detection and classification of solar radio bursts from spectrogram of data. The proposed approaches are required
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, it has matured into an established research community seeking automatic, computerized processing of 3D geometric data obtained through measurements or designs. The following developments have shaped
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | about 1 month ago
Grenoble is surrounded by the Alps mountains, offering a high quality of life, and where you can experience all kinds of mountain related outdoors activities and more. Our team develops Melissa (https
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(TCCE) at the University of Nîmes. In return, the university will commit to providing an environment conducive to the development of research projects, which must focus on one or more of the following
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 30 days ago
. To this end, it develops advanced numerical methods that are integrated into open-source platforms deployed on state-of-the-art HPC environments. Seismic imaging is a critical technology for subsurface
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related to staff position within a Research Infrastructure? No Offer Description In the present job offer, at the interface between nano and neurosciences, we will develop a new generation of bioelectronic
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Automated Generation of Digital Twins of Fractured Tibial Plateaus for Personalized Surgical plannin
of this project requires the design, development, and training of an artificial intelligence algorithm capable of automatically segmenting the bony structures of both healthy and fractured tibial plateaus
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properties are optimized by machine learning algorithms to retrieve properties of reference flames gathered in a learning base. A virtual scheme consists of a main block that models the heat release from