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of advanced applications for network benchmarking, road hazard warning, and pseudo-remote driving supported by computer vision, while also supporting the broader research and integration activities
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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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position within a Research Infrastructure? No Offer Description Activities Each fellowship must address at least one of the three research fronts: 1. The far-right religious movements in different national
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | about 6 hours ago
Scientific Computing # Active contribution to Open Source Scientific Community codes # Working with application field scientists from various fields and different levels of IT background and their ambitious
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 15 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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the direct incorporation of physical laws or constraints into the neural network training process. To achieve our goal, we will conduct analysis of several surface water management scenarios in different
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or different stages in a dynamic process. In this PostDoc project, our aim is to visualize the life-cycle of Weibel-Palade Bodies (WPBs) in the context of disease using multi-beam EM (FAST-EM) with correlative
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evaluation of advanced applications for network benchmarking, road hazard warning, and pseudo-remote driving supported by computer vision, while also supporting the broader research and integration activities
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these degradation pathways. Join our team! Decoding Light-Induced Degradation through Molecular Networking and Data Science Many organic compounds change under the influence of (UV) light. This is beneficial in water
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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