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rules for Marie Skłodowska-Curie grant holders, will consist of a gross annual salary 38 k€ EUR salary (gross amount for the employee before tax). Of this amount, the estimated net salary* to be perceived
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meshes while maintaining low computational cost and high accuracy. Activity 1: Software development (in C++) within the NICE code. Activity 2: Application of adaptive mesh‑refinement methods. Activity 3
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of a novel detection technique. - activities: The work will involve experimental investigations using advanced single molecule detection tools. The net monthly salary is between €2,200 and €2,380
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. Indeed, the methods currently used rely on optical image databases of various avalanche observations. A deep neural network was trained on this data to enable automatic avalanche detection FIGURE 1 (a) [1
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of these reusable packaging using IoT sensors and deep learning techniques embedded in the sensors. During the preliminary work, neural network models were developed to perform simple tasks using accelerometer data
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 13 days ago
to reconstruct open rose flowers in 3D. The key idea is to learn two neural networks that operate on different scales. The first network operates on the scale of the full flower to identify the flower architecture
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materials. The net monthly salary is between €2,200 and €2,380 The contract duration is 18 months Where to apply E-mail julien.schmitt@umontpellier.fr Requirements Research FieldChemistryEducation LevelPhD
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position on vulnerability and adaptation to climate change inside the Mediterranean Ramsar network. The Tour du Valat is a research institute for the conservation of Mediterranean wetlands based in
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research in network, cellular, and molecular neuroscience that helps us to understand the neuronal and glial basis of integrative brain function as well as their molecular underpinnings. INCC physicists
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-informed neural networks (PINNs) and potentially generative adversarial networks (Pi-GANs). These models aim to predict cell fate and tumor development in CRC. The postdoc will collaborate with both