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related field by the beginning of the thesis (~ September 2026). - Good understanding of networks, protocols, etc. - Good understanding of artificial intelligence (regression models, neural networks, etc
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or formal training in the following areas will be assessed: - Applied Artificial Intelligence - Machine Learning and Deep Learning - Artificial neural networks - Scientific programming (Python, MATLAB, C/C
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for Smart Economy 2021–2027 (FENG). Neural Radiance Fields (NeRFs) have demonstrated the remarkable potential of neural networks to capture the intricacies of 3D objects. By encoding the shape and color
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: Developing state-of-the-art neural networks to accelerate the development of formulations in the pharmaceutical sector. Collaborating on the implementation of these techniques within a company. Contributing to
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description «Harnessing Vision Science to Overcome the Critcal Limitations of Artificial Neural Networks VIS4NN. CPI
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biodiversity loss under different climate and pollution scenarios. The DR will apply graph neural networks (GNNs), especially temporal graph networks (TGNs) and spatiotemporal graph neural networks (STGNNs
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radar image processing, classification, multi-temporal analysis, and data fusion, using advanced automatic analysis methods such as deep neural networks and artificial intelligence is essential. Specific
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by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description The Center for Interdisciplinary Data Science and Artificial Intelligence
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, Applied Machine Learning, Neural Networks and Deep Learning as well as Machine Learning for AI and Data Science and Bayesian Theory and Data Analysis. We are looking for an associate able collectively
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: 10.1109/LATW.2019.8704548. [4] P. Rech, "Artificial Neural Networks for Space and Safety-Critical Applications: Reliability Issues and Potential Solutions," in IEEE Transactions on Nuclear Science, vol. 71