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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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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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, 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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. Investigate and implement optimum sampling strategies, including sparse and compressed sampling techniques. Explore the applicability of neural networks in clinical workflows, ensuring solutions are practical
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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
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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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. Tissue engineering and regenerative medicine: integration of biomechanical principles into the design of scaffolds, organoids, and artificial tissues. Mechanics of cardiovascular and neural tissues
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in Gait Training. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 24(11), https://doi.org/10.1109/TNSRE.2016.2551642 * Friston, FitzGerald, Rigoli, Schwartenbeck & Pezzulo (2017