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of the project is to design, model and simulate neural networks based on magnetic skyrmion nucleation and propagation. The second objective is to fabricate these hardware neural networks, characterize
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:this project pioneers a new paradigm of General Genome Interpretation (GenGI) models by combining DNA Large Language Models (DLLMs) with Deep Neural Networks to predict human phenotypes directly from Whole Exome
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weights in a crossbar matrix of synapses based on Mott insulators and participate in neural network inference tests. - Participate in the supervision of the fabrication of the Mott insulator-based synapse
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experimental validation of mathematical and computational models linking individual microscopic dynamics, information propagation, and collective structures (norms, social networks, global performance
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has a strong societal impact ambition and requires particular care to protect intellectual property, while maintaining a collaborative research approach within a network involving other academic and
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The expert will participate in the necessary methodological developments and analyses of airborne data recorded by the IAGOS research infrastructure (https://www.iagos.org ) and from other networks, to provide
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on extending methods for detecting the pose of an object (possibly occluded, even if only partially) held by a person to 360-degree robot vision, in line with mesh detection and biomechanical variables
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of these activities has led to support from several European, national, and regional projects, with current involvement in 1 Horizon Europe Doctoral Network, 2 regional projects, as well as the PEPR “Spintronics
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networks); -have experience in vibrational modeling and DFT methods; -possess solid skills in scientific programming (Python) and data processing ; -have ability to work in an interdisciplinary environment
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is an interdisciplinary effort at the frontier between Biology (Genetics, Genomics), Bioinformatics, Artificial Intelligence (Neural Networks) and Statistics (LMMs). The aim is to join the