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, medical image processing and applications of convolutional and graph neural networks, digital twins,… in the fields of rare diseases, cancer and inflammation . Institutional and societal engagement Based
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car simulator facilities. Work in the project comprises human-factors research, artificial intelligence and data analytics. Do you want to know more about LIST? Check our website: https://www.list.lu
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trustworthy AI architectures in domains such as generative AI, large language models, neural networks, and imaging as well as to integrate various types of data to advance research and improve clinical decision
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that could form the generative neural networks of tomorrow. The GREYC laboratory (Research Group in Computer Science, Image, Automation and Instrumentation of Caen) is a joint research unit associated with
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resource-limited healthcare centres. To this end, the project will generate the first scan-rescan, multi-centre and multi-device database for building deep neural networks from both high-end and low-cost
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Uppsala University, Department of Information Technology In this project we will conduct research towards trustworthy and robust use of neural networks with applications in epidemics. We consider a
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the subject of several key studies. In clinical PET/MRI, researchers have demonstrated the feasibility of generating multi-class attenuation maps from trained neural networks without requiring additional
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basic research neurobiology lab at the Free University in Berlin Germany. The main focus of the lab is the study of how genomic information 'unfolds' to develop neural networks with remarkable information
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skills in designing advanced neural networks (including Vision Transformers, Graph Convolutional Networks, and Spiking Neural Networks), hardware implementation of algorithms for reconfigurable FPGA
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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