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architecture on a variety of datasets. In a second phase, several domain adaptation strategies taking into account the specificity of the data (low resolution), the correlations between the different sites, and
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tensile strength, so engineers have to rely on steel reinforcement. This project explores a different approach: nature has already perfected the art of turning brittle minerals into tough materials, like
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software development work and running complex robotic experiments with different platforms. Job requirements Required qualifications and qualities: MSc degree in software engineering or robotics, and similar
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 6 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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-scale, shallow, planar cracks in rocks, faults span a broad range of length scales (10-6-103 km) and surface-to-depth widths (1-102 km) and have a complex 3D architecture (e.g., Giampietro et al., 2025
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conduct world-class applied research. We change and make a difference. Do you want to become one of us? The Department of Software Engineering consists of about 50 researchers and teachers from 20
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responsibilities, including: Mapping policy architectures and debates. The project will document the existing policy architecture (policies, laws, regulations, statutes, codes, standards) for GGR and SRM within
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of catalysts, electrodes, and ionomer membranes with high time resolution, operando x-ray measurements. Develop electrode architecture and catalyst/electrode modification strategies for enhanced durability
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approach makes it easier to identify different local optima using sampling mechanisms. In stochastic optimization, distribution estimation algorithms (EDA) are an alternative approach to traditional
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communication signals on our mental processes. What you will do Build novel deep learning architectures for auditory prediction (speech and/or music) prioritizing explainability and cognitive hierarchies Quantify